Design Thinking Field Research
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The document discusses design thinking workshops that facilitate human-centered innovation through hands-on methodologies tailored to participants. It highlights research insights from immersive field studies, resulting in products and toolkits aimed at enhancing user interactions in various public interface settings. Additionally, it describes the impacts of social and spatial factors on the usability of public interfaces, supported by empirical studies and conference presentations.
![COPENHAGUEDENMARK
Impact of Context Design on Interface Use in Public Settings
Diana Schneider
M.Sc. Industrial Design, student
Technische Universität München
diana_schneider@mytum.de
Impact of Context Design on Interface Use in Public Settings
Hons. Deg. Digital Technology Management, student
Diana Schneider
CDTM, Elitenetzwerk Bayern
M.Sc. Industrial Design, student
Technische Universität München
diana_schneider@mytum.de
Hons. Deg. Digital Technology Management, student
CDTM, Elitenetzwerk Bayern
1 / 5
ABSTRACT
This research paper was motivated by the search for information on
the influence of surrounding settings on interfaces. The goal of this
study is to improve public interfaces by understanding the context in
which interfaces are being used, rather than the design itself.
Combining scientific literature and the results of a field test conduct-ed
in Munich in December 2010, this paper analyses the impact of
setting-dependant factors room size, overview of surroundings, pres-ence
of passers-by and peer feedback on the fast, faultless use of a
graphical interface, proving that spatial and social aspects influence
the objective performance and subjective experience of interface use.
To optimize the Human-Machine interaction (HMI) of public inter-faces,
this paper suggests that its design include all influencing fac-tors
and extend traditional HMI guidelines to include ambient design
elements.
Keywords
Public interface design, spatial and social context, ambient design
1. INTRODUCTION
We are confronted with user interfaces both in private and public.
While the former is mainly constituted of personal devices of private,
solitary interaction, this paper focuses on four types of publics.
Navigating in an indoor public setting, we encounter interfaces from
subway ticket machines, airport check-ins, ATMs, info booths to
supermarket self-service cashpoints. By its public nature, the usage
of such interfaces is unavoidably subject to error and displeasure.
Despite literature about the arrangement of elements on UI-surfaces,
ergonomics, inclusive design and Gestalt-principles of visual percep-tion,
traditional HMI guidelines appear insufficient to design an op-timal
public interface experience. According to Bratteberg and Kris-toffersen
this is caused by the inaptitude of such principles to consid-er
the human trait to validate our behaviour in public through con-stant
comparison with surrounding people [12].
The relevance of interface context stems from the ability of public
spaces to influence the behaviour in them [3]. Architecture and de-sign
create the framework for communication/ transaction between
people in public [15]. It is thus interesting to analyse whether in addi-tion
to influencing human-human-interaction public places also affect
the human-machine-interaction.
2. THE PUBLIC FRAMEWORK TO INTERFACE-USAGE
Space is the transaction area between physical setting and the people
acting within [2], divided into private, social and public space. The
latter comprises surroundings that are freely entered without authori-zation
(airports, stations, malls) [11], not controlled by individuals/
groups, but accessible to the entire population [4]. This interactive,
sociable, democratic and self-organized [14] public place serves as
joining surface between private places, fulfilling functional and sym-bolic
purposes [16]: the physical-social interface between people and
urban interests [14].
2.1 Differentiation of Public and Private Places
UI usage in public differs from UI in private surroundings [4]. First-ly,
public space presumes a variety of users with diverse precondi-tions,
(inter)acting according to age, knowledge, technology habit
and linguistic/ cognitive skills. Products in public should allow intui-tive
interaction without previous training, instead of being tailored to
a single, regular user [8]. Furthermore, in public the interacting user
is surrounded by uninvolved individuals, inducing a feeling of „being
observed‟, triggering caution or concern [6]. In addition, public spac-es
contain stressors such as noise, limited light or surrounding people
[2], subliminally or obtrusively deflecting the user‟s focus from the
interface. Furthermore they are more frequently navigated through
with goal-oriented purpose [16], thus navigating through urban pub-lic
spaces demands more attention than acting in private [9].
2.2 Public elements influencing Human Behaviour
Context (environment, motivation, individual differences, precondi-tions,
mental models, attention) influences human perception, cogni-tion
[16], concentration and judgement. Research on human cogni-tion
suggests an increased perception of human movement and faces,
exceeding perception of signs [18]. Goodman and Paulos describe
this phenomenon in their interpretation of Milgram‟s theory as allo-cation
of navigational cues to people, rather than objects: „human
markers‟ to structure and influence our feeling of belonging in cer-tain
publics [6]. This coincides with scientific findings of using peo-ple‟
s reaction to our behaviour to reflect and qualify our actions [1].
Goffman [5] takes this further by comparing social behaviour in pub-lic
to a theatre scene in which everyone plays a role according to the
social setting they‟re in, stabilizing their role coherence throughout
different contexts. This induces embarrassment, shame and reduced
self-esteem when incapable to project this public image [17] in pub-lic,
where we are constantly exposed to peer judgment. Mistakes -
such as the faulty use of airport-interfaces in a field test by Bratte-berg
and Kristoffersen- entail unwanted exposure („protruding‟) to
peers [12].
This behaviour is based on the psychological principle of affordance:
the interpretation of action-prompting context factors, physical (iden-tifying
building entrances) and social (recognising what others are
doing) as reference for our own behaviour [10]. For instance, the
„honeypot effect” [7] describes how passers-by approach a public
interface when they notice active users in front of it.
These elements pave the way for a contextual approach to HMI.
1 / 5
ABSTRACT
This research paper was motivated by the search for information on
the influence of surrounding settings on interfaces. The goal of this
study is to improve public interfaces by understanding the context in
which interfaces are being used, rather than the design itself.
Combining scientific literature and the results of a field test conduct-ed
in Munich in December 2010, this paper analyses the impact of
setting-dependant factors room size, overview of surroundings, pres-ence
of passers-by and peer feedback on the fast, faultless use of a
graphical interface, proving that spatial and social aspects influence
the objective performance and subjective experience of interface use.
To optimize the Human-Machine interaction (HMI) of public inter-faces,
this paper suggests that its design include all influencing fac-tors
and extend traditional HMI guidelines to include ambient design
elements.
Keywords
Public interface design, spatial and social context, ambient design
1. INTRODUCTION
We are confronted with user interfaces both in private and public.
While the former is mainly constituted of personal devices of private,
solitary interaction, this paper focuses on four types of publics.
Navigating in an indoor public setting, we encounter interfaces from
subway ticket machines, airport check-ins, ATMs, info booths to
supermarket self-service cashpoints. By its public nature, the usage
of such interfaces is unavoidably subject to error and displeasure.
Despite literature about the arrangement of elements on UI-surfaces,
ergonomics, inclusive design and Gestalt-principles of visual percep-tion,
traditional HMI guidelines appear insufficient to design an op-timal
public interface experience. According to Bratteberg and Kris-toffersen
this is caused by the inaptitude of such principles to consid-er
the human trait to validate our behaviour in public through con-stant
comparison with surrounding people [12].
The relevance of interface context stems from the ability of public
spaces to influence the behaviour in them [3]. Architecture and de-sign
create the framework for communication/ transaction between
people in public [15]. It is thus interesting to analyse whether in addi-tion
to influencing human-human-interaction public places also affect
the human-machine-interaction.
2. THE PUBLIC FRAMEWORK TO INTERFACE-USAGE
Space is the transaction area between physical setting and the people
acting within [2], divided into private, social and public space. The
latter comprises surroundings that are freely entered without authori-zation
(airports, stations, malls) [11], not controlled by individuals/
groups, but accessible to the entire population [4]. This interactive,
sociable, democratic and self-organized [14] public place serves as
joining surface between private places, fulfilling functional and sym-bolic
purposes [16]: the physical-social interface between people and
urban interests [14].
2.1 Differentiation of Public and Private Places
UI usage in public differs from UI in private surroundings [4]. First-ly,
public space presumes a variety of users with diverse precondi-tions,
(inter)acting according to age, knowledge, technology habit
and linguistic/ cognitive skills. Products in public should allow intui-tive
interaction without previous training, instead of being tailored to
a single, regular user [8]. Furthermore, in public the interacting user
is surrounded by uninvolved individuals, inducing a feeling of „being
observed‟, triggering caution or concern [6]. In addition, public spac-es
contain stressors such as noise, limited light or surrounding people
[2], subliminally or obtrusively deflecting the user‟s focus from the
interface. Furthermore they are more frequently navigated through
with goal-oriented purpose [16], thus navigating through urban pub-lic
spaces demands more attention than acting in private [9].
2.2 Public elements influencing Human Behaviour
Context (environment, motivation, individual differences, precondi-tions,
mental models, attention) influences human perception, cogni-tion
[16], concentration and judgement. Research on human cogni-tion
suggests an increased perception of human movement and faces,
exceeding perception of signs [18]. Goodman and Paulos describe
this phenomenon in their interpretation of Milgram‟s theory as allo-cation
of navigational cues to people, rather than objects: „human
markers‟ to structure and influence our feeling of belonging in cer-tain
publics [6]. This coincides with scientific findings of using peo-ple‟
s reaction to our behaviour to reflect and qualify our actions [1].
Goffman [5] takes this further by comparing social behaviour in pub-lic
to a theatre scene in which everyone plays a role according to the
social setting they‟re in, stabilizing their role coherence throughout
different contexts. This induces embarrassment, shame and reduced
self-esteem when incapable to project this public image [17] in pub-lic,
where we are constantly exposed to peer judgment. Mistakes -
such as the faulty use of airport-interfaces in a field test by Bratte-berg
and Kristoffersen- entail unwanted exposure („protruding‟) to
peers [12].
This behaviour is based on the psychological principle of affordance:
the interpretation of action-prompting context factors, physical (iden-tifying
building entrances) and social (recognising what others are
doing) as reference for our own behaviour [10]. For instance, the
„honeypot effect” [7] describes how passers-by approach a public
interface when they notice active users in front of it.
These elements pave the way for a contextual approach to HMI.](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-7-320.jpg)
![2 / 5
3. INTERFACE USAGE IN PUBLIC: THE EXPER-IMENT
3.1 Four Types of Public Space
To quantify ambient influences on the use of interfaces in public,
four location-types of indoor public space were distinguished. The
graphic presentation shows the groundplan and entrances (black out-lines),
flux (arrows) and room size (man icon).
3.1.1 Setting A: Atrium
This high-ceilinged, large room is a passageway with a pre-defined
movement flux to/out of the adjacent room: an open transit space
with limited exit points, reverberant acoustics.
Fig 1. Type A: Atrium
3.1.2 Setting B: Workfloor
This high-ceilinged, crammed room is used as workshop for station-ary
(standing/ sitting) and transitory (navigating between tables and
adjacent rooms) streams of people, passers-by and standers-by [13].
Fig 2. Type B: Workfloor
3.1.3 Setting C: Hallway-Intersection
In this T-intersection, the lectern was placed facing one hallway,
joined at a 90° angle left and right by corridors that could only be
seen in peripheral vision, with an elevator behind the user.
Fig 3. Type C: Hallway-Intersection
3.1.4 Setting D: Separate Room
This small, vacant, room-height is a silent, secluded environment in
which the unique entrance door is within vision.
Fig 4. Type D: Separate room
A –
Atrium
B –
Workfloor
C –
Hallway
D –
Seperate room
Social
aspects
Irregular lim-ited
people
stream
Work atmos-phere
and
busy rush
Transit room
with constant
flux and talks
Separate, empty
room
Spatial
aspects
Back towards
room, distance
to onlookers
Back towards
adjacent
room, view
over room
Crossroads of
hallways, no
view over
oncoming flux
Back towards
corner, only door
in view during use
Stressor Reverberant
accoustics
Workshop
noise, mess
Unpredictable
elevator
No peer feedback
3.2 Modus operandi: touchscreen followed by survey
The test consisted of a touchscreen exercise in eight public locations
-to overcome studio-based contemplation [1]- with two locations per
setting type to cross-check its validity. It included 55 test persons, 33
men, 22 women, 21-64years in Munich, Germany, Dec. 2010
The fictitious booking task was: ‘Book a window seat from Munich to
Milano on January 24th in the morning’. To complete this, the user
had to click through an iPad picture-sequence, with different input-actions
(clicking, selecting, pointing). A wrong click resulted in a re-start,
applying Bratteberg and Kristoffersen‟s principle of „reversibil-ity‟
[12]. Then, the test user was given their time and a survey as-sessing,
booking behaviour, perception of surrounding, terminal
preference, social attitude and interface feedback.
4. RESULTS: THE SOCIAL AND SPATIAL COM-PONENT
OF PUBLIC INTERFACE CONTEXTS
4.1 Time varies according to setting
The time to complete the task is mapped in the following boxplot.
The fastest median was achieved in D, indicating that being in a qui-et,
separate room is ideal to focus on an interface. This setting had
the smallest variance, hence the most stable test results. However, the
fastest user was in the atrium, even though setting A had the slowest
median. The slowest was at the T-intersection hallway-crossing (C).
Fig 5. Boxplot of Time (in sec.) per Setting
3 / 5
It can be deduced the context should offer safety, shelter, distance to
passers-by and the feeling of not being observed (D) if the applica-tion
requires a diverse user base completing the task at similar speed.
Interfaces for which variance in time by different users does not lead
to disruptions can be placed in busy surroundings (B, C). Room-height
(3m) enhances fast interface use (D, C), however this effect is
annulled by unpredictable people-flux or impaired vision over sur-roundings
(C). Even though noise (A, B) leads to overall slower in-terface
use, this doesn‟t hinder individuals to master the test quickly.
4.2 Failure rates vary according to setting
When set in rooms with high people streams, the failure rate to com-plete
an interface task is higher. This is particularly noticeable in the
hallway (C) and workshop (B). The failure rate of the Atrium (A) and
the separate room (D) are comparable, even though they differ spa-tially
(large vs. small room) and socially (people vs. empty room).
Fig 6. Proportion of mistakes per setting
The interpretation of failure rates indicates that the combination of
distance to (or absence of) passers-by, silence, clearly-arranged set-ting
and no unpredictable disruptions enhance flawless HMI.The
view over the surroundings can be obtained through separating inter-faces
(semi-high walls) or large, open rooms with one direction of
movement (A). If the HMI needs to be placed in a context of unpre-dictable
people flux from different directions (C), it is necessary to
allow mistakes without forcing the user back to the start-page. Room
height seems to play only a minor role.
4.3 Ambient stress caused by passers-by is considered
more invasive than spatial factors
To test the impact of surrounding people on interface usage, the sur-vey
asked to judge 8 possible factors according to „bother-some‟/‟
doesn‟t matter, then clustered them into four categories:
People Room Stressor Time
Fig 7. Assessment of disturbance of public interfaces
In the test users‟ assessment, time was most commonly named in all
settings. The other three factors were not judged equally, depending
on the test-setting. Disturbance by surrounding people is ranked
highest where people physically intrude on the interface-user (C) or
if there is no-one in sight (D) and lowest when peers are further (A)
or not attentive to the interface-user (B). „Surrounding space‟ loses
its mportance, the smaller the space. Men rated fewer factors „dis-turbing
the interface‟. Women are more disturbed by surrounding
people.
Nennungshäufigkeit nach Geschlecht Es ist bemerkenswert, dass der Faktor
„Platzmangel“ an Stör-Potenzial ver-liert,
je kleiner die unmittelbare Inter-face-
Umgebung.
Außerdem ist es interessant an zu
merken, dass männliche Probanden
insgesamt weniger Faktoren als “stö-rend”
Fig 8. Disturbance assessment of males + females
4.4 The Setting with the Broadest bewertet Overview haben, während over zirka
the
Surrounding is preferred
die Hälfte aller weiblichen Probanden
“Personen“ störend nannten.
When asked which interface-setting they preferred out of three, the
majority of respondents favoured the broadest view, compactness and
lectern ergonomics (size, inclination).
Bewertung Dreier Stereotyp-Umgebungen
Fig 9: user assessment
of HMI-archetype one
Fig 10: user assessment
of HMI-archetype two
Fig 11: user assessment
of HMI-archetype three
Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig”
und welche als “störend” empfunden wurden.
Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während
die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der
Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden
Nennungshäufigkeit der geclusterten Stör-faktoren
je nach Untersuchungs-Kontext
22
Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig”
und welche als “störend” empfunden wurden.
Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während
die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der
Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden
mit Umgehenden sowie Umstehenden direkt konfrontiert werden (C-Flur-Knotenpunkt
in dem unbekannte Personen häufig und unvorhergesehen in direkter Interface-Nähe vorbeige-hen,
stehenbleiben, nachfragen, einen Umweg um das Interface machen müssen), oder in jenen
Interface-Umgebungen, in denen keine anderen Personen vorhanden waren (D-separater, men-schenleerer
Raum).
Wenn umgebende Peers weiter weg sind (A- Atrium) oder ihre Aufmerksamkeit nur peripher auf
die Interface-Nutzung richten (B- Werkhalle in der umgehende Personen mit Geräten durch den
Raum navigieren, ihrer eigenen Arbeit fokussiert nachgehen, nicht anhalten um sich über das
Interface zu informie-ren) werden Personen nur begrenzt als Störfaktor wahrgenommen.
Nennungshäufigkeit der geclusterten Stör-faktoren
je nach Untersuchungs-Kontext
Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig”
und welche als “störend” empfunden wurden.
Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während
die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der
Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden
Nennungshäufigkeit der geclusterten Stör-faktoren
je nach Untersuchungs-Kontext
Es ist bemerkenswert, dass der Faktor
„Platzmangel“ an Stör-Potenzial ver-liert,
je kleiner die unmittelbare Inter-face-
Umgebung.
Außerdem ist es interessant an zu
merken, dass männliche Probanden
insgesamt weniger Faktoren als “stö-rend”
bewertet haben, während zirka
die Hälfte aller weiblichen Probanden
“Personen“ störend nannten.
Bewertung Dreier Stereotyp-Umgebungen
Umgebung 1:
Wandaufstellung mit dem Rücken zum Raum
Umgebung 2:
Block-Aufstellung in Raum-Mitte
Umgebung 3:
Halbhohe Sockel-Aufstellung mit Raum-Überblick
Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe Es ist bemerkenswert, dass der Faktor
„Platzmangel“ an Stör-Potenzial ver-liert,
je kleiner die unmittelbare Inter-face-
Umgebung.
Außerdem ist es interessant an zu
merken, dass männliche Probanden
insgesamt weniger Faktoren als “stö-rend”
bewertet haben, während zirka
die Hälfte aller weiblichen Probanden
“Personen“ störend nannten.
Bewertung Dreier Stereotyp-Umgebungen
Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe Es ist bemerkenswert, dass der Faktor
„Platzmangel“ an Stör-Potenzial ver-liert,
je kleiner die unmittelbare Inter-face-
Umgebung.
Außerdem ist es interessant an zu
merken, dass männliche Probanden
insgesamt weniger Faktoren als “stö-rend”
bewertet haben, während zirka
die Hälfte aller weiblichen Probanden
“Personen“ störend nannten.
Bewertung Dreier Stereotyp-Umgebungen
Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe COPENHAGUEDENMARK](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-8-320.jpg)
![4 / 5
This was verified by splitting users according to their interface use.
Fig 12. Respondent distribution by booking habit
The results were the same preference for the lectern and dislike of the
wall-mounted interface, frequent users giving more severe ratings.
This is correlated with the mentioning frequency of usability-enhancing
factors, showing that interface-related factors (speed,
comprehensibility) are considered equally important as context-related
factors (silence, overview, distance and safety), with distance
as highest significance. Remarkably, being hidden from view is more
frequently named by test users in a secluded room (D). In hectic test
environments (B, C) the speed was valued most frequently.
Fig 13. Mentioning frequency usability enhancing factors
Therefore the influence of spatial factors is not consciously rated
(neither identified as „disturbance‟, nor named as „success factor‟),
however the users prefer settings with a well thought-out spatial ex-perience
(fig. 9-11). Silent and safe settings are preferred, thus appli-cations
where noise and movement cannot be avoided should simpli-fy
their Interface to require minimal attention, because the latter is
focused on assessing the surrounding.
5. CONCLUSION: PROPOSED DESIGN GUIDE-LINES
FOR PUBLIC INTERFACES
5.1 Social and Spatial Guidelines
Optimal Interface use was observed in settings where distance to
passers-by could be guaranteed. However, empty rooms did not per-form
better, possibly due to lacking peer feedback (active or passive),
corroborating the fact that “people are constantly reflecting their
actions onto how others relate to it” [1]. Contact with onlookers can-not
(and should not) be avoided, instead it should be controlled so as
to give the user a constant visual room overview to anticipate stream
of surrounding people. While large rooms engender better results,
this positive effect is annihilated when the interface is a wall-mounted
back-to-the-room solution. External stressors such as noise
should be reduced. Women appear to be more sensitive to disturb-ances
linked to space and surrounding people than men.
5.2 Integrated Context Design
Summing up, this study proves that it is ill-advised to separate social
and spatial elements of interface setting, because context is derived
from the interrelation of both. Interface contexts should be thus con-ceived
as to instil quietness, control, privacy and predictability of the
surrounding.
6. OUTLOOK
This research paper shows test findings of a field study in Munich
and correlates these with previous literature research. Our results
corroborate the unanticipated hypothesis observed by a research team
using 2 spatial set-ups for their mapping-interface experiment (atrium
and test-lab): the correlation between correct and fast solving of an
interface assignment and the context [20]. It would be interesting to
further this research project onto outdoor public setting and expand
the number of context-types.
7. ACKNOWLEDGEMENTS
Special thanks to Fabian GHOSHAL and Andreas SCHUSTER for
their help in preparing and conducting the field test and Dipl. Des.
Sandra HIRSCH for her guidance and feedback throughout the re-search
process.
Fig 14. Field test impressions
7. REFERENCES
[1] Esko Kurvinen, Ilpo Koskinen, Katja Battarbee. Prototyping social
interaction. MIT Design Issues, 24:46–57, 2008.
[2] Paul A. Bell, Thomas C. Greene, Jeffrey Fischer, Andrew Baum.
Environmental Psychology. Routledge, 2005.
[3] Carl DiSalvo. Design and the constructions of publics. MIT Design
Issues, 25:p.48–63, 2009.
Nutzungs-befördernde Faktoren
Diese Angaben kann man korrelieren mit der Nennungs-Häufigkeit von acht Nutzungs-befördern-den
Faktoren (Ruhe, Geschwindigkeit, Verständlichkeit, Sichtschutz, Hilfspersonal, Raumübersicht,
Abstand zu Umstehenden und Hilfspersonal).
Dabei fällt auf, dass Interface-Elemente (Geschwindigkeit, Verständlichkeit) insgesamt als ähnlich
‚wichtig‘ erfahren werden wie Umgebungs-Faktoren (Ruhe, Sichtschutz, Raumübersicht, Abstand,
Sicherheit), von letzteren wird jedoch durchschnittlich Abstand als wichtigster eingestuft. Inter-essanterweise
wird Sichtschutz am häufigsten genannt von Probanden die in komplett sichtge-schützter
Umgebung getestet wurden. In hektischen Räumen (B und C) zählt Geschwindigkeit am
meisten.
Als Interpretation der drei vorherigen Punkte kann man ziehen, dass Raumfaktoren insgesamt
nicht bewusst als wichtigster Störfaktor oder relevantester Erfolgsfaktor erfahren werden. Den-noch
werden jene Raumsituationen als positiv erfahren, die eine übersichtliche Raum-Erfahrung
bieten.
Nennungshäufigkeit einzelner
Interface-Benut-zung
[4] Erving Goffman. Behavior in Public Places: Notes on the Social
Organization of Gatherings. Simon and Schuster, 1966.
[5] Erving Goffman. Contemporary Sociological Theory - The
Presentation of Self in Everyday Life. Wiley-Blackwell, 2007 (1959).
[6] Eric Paulos, Elizabeth Goodman. The familiar stranger: Anxiety,
comfort and play in public places. Technical report, Intel Research. Berkeley,
CA, p.223-230, 2004.
[7] Yvonne Rogers, Harry Brignull. Human-Computer Interaction:
Enticing People to Interact with Large Public Displays in Public Spaces. IOS
Press, International conference on human-computer interaction, 1st-5th sep-tember
2003, Zürich, Switzerland edition, 2003.
[8] Pamela Jennings. Tangible social interfaces: Critical theory,
boundary objects and interdisciplinary design methods. Carnegie Mellon
University School of Computer Science Human Computer Interaction Insti-tute,
p.176-186, April 12-15 2005.
[9] Sakari Tamminen, Antti Oulasvirta, Kalle Toiskallio, Anu
Kankainen. Understanding mobile contexts. Helsinki University of Technolo-gy,
p.135-143, 2004.
[10] Jeni Paay, Jesper Kjeldskov. Understanding situated social interac-tions:
A case study of public places in the city. Computer Supported Coopera-tive
Work: Settings for Collaboration, the Role of Place, 17:275–290, 2007.
[11] Eamonn O‟Neill, Dawn Woodgate, Vassilis Kostakos. Easing the
wait in the emergency room: Building a theory of public information systems.
Proceedings of the conference on designing interactive systems: Processes,
practices, methods and techniques, University of Bath, Dep. of Computer
Science, 2004.
[12] Ingunn Bratteberg, Steinar Kristoffersen. Irreversibility and force-back
in public interfaces. Proceedings, NordiCHI [Nordic Forum for Human-
Computer Interaction], p.63-72, October 20-22 2008.
[13] Anthony Tang, Mattias Finke, Michael Blackstock, Rock Leung,
Meghan Deutscher, Rodger Lea. Designing for bystanders: Reflections on
building a public digital forum. University of British Columbia, Vancouver,
p.879-882, 2008.
[14] Eva Eriksson, Thomas Riisgaard Hansen, Andreas Lykke-Olesen.
Reclaiming public space - designing for public interaction with private devic-es.
Technical report, Chalmers University of Technology, University of Aar-hus,
Aarhus School of Architecture, p.31-38, 2007.
[15] Malcolm McCullough. Digital Ground - Architecture, Pervasive
Computing and Environmental Knowing. MIT Press, 2005.
[16] Joerg Mueller, Florian Alt, Albrecht Schmidt, Daniel Michelis.
Requirements and design space for interactive public displays. Technische
Universität Berlin, University of Duisburg-Essen, Anhalt University of Ap-plied
Sciences, 2010.
[17] W. Gerrod Parrott, John Sabini, Maury Silver. The roles of self-esteem
and social interaction in embarrassment. Society for Personality and
Social Psychology Georgetown University of Pennsylvania, p.190-202, 1988.
[18] Christine Halverson, Wendy A. Kellogg, Mark Laff, Tracee Wolf,
Thomas Erickson. Social translucence - designing social infrastructures.
Communications of the ACM [Association for Computing Machinery],
45:p.40–44, 2002.
4 / 5
their Interface to require minimal attention, because the latter is
focused on assessing the surrounding.
5. CONCLUSION: PROPOSED DESIGN GUIDE-LINES
FOR PUBLIC INTERFACES
5.1 Social and Spatial Guidelines
Optimal Interface use was observed in settings where distance to
passers-by could be guaranteed. However, empty rooms did not per-form
better, possibly due to lacking peer feedback (active or passive),
corroborating the fact that “people are constantly reflecting their
actions onto how others relate to it” [1]. Contact with onlookers can-not
(and should not) be avoided, instead it should be controlled so as
to give the user a constant visual room overview to anticipate stream
of surrounding people. While large rooms engender better results,
this positive effect is annihilated when the interface is a wall-mounted
back-to-the-room solution. External stressors such as noise
Fig 14. Field test impressions
7. REFERENCES
[1] Esko Kurvinen, Ilpo Koskinen, Katja Battarbee. Prototyping social
interaction. MIT Design Issues, 24:46–57, 2008.
[2] Paul A. Bell, Thomas C. Greene, Jeffrey Fischer, Andrew Baum.
Environmental Psychology. Routledge, 2005.
[3] Carl DiSalvo. Design and the constructions of publics. MIT Design
Issues, 25:p.48–63, 2009.
COPENHAGUEDENMARK](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-9-320.jpg)
![Author’s name(s)
Most importantly, after attending the workshop about 80% of participants had applied Design
Thinking methods in their own projects. These projects ranged from ideation (4) and
software development and prototyping (8) to application in business consulting (3). All
workshop participants planned to apply Design Thinking methods in their future projects.
Asking for the role of Design Thinking in their future projects reveals the potential benefit
participants see in applying Design Thinking. A majority of workshop participants sees the
benefit of Design Thinking in supporting an ideation and problem solving process (6). In
opinion of the participants, Design Thinking facilitates communication (3) and supports
teams with a structured process, i.e. Design Thinking helps to drive teamwork in a more
process-oriented way (3). Designers usually apply Design Thinking to identify user needs
and communicate early results in form of iterative prototypes. This aspect of Design Thinking
however resonates only with a minority of the workshop participants (3).
When asked about settings where it makes sense to include a designer in a team,
participants answered as follows: First and foremost, the inclusion of a design requires
acceptance by the team itself. Hence a mutual understanding of the benefits and roles of a
designer is essential. Designers fit to a lot of projects, but workshop participants see the
highest potential in projects with unclear structures that require a structured process to
tackle complex tasks (6) as well as in any projects that deal with tangible, physical products
(6) and were the interaction with end consumers/ users is heavily required. In the latter case
designers are seen as an important mean to facilitate the interaction with users (3).
WORKSHOP IMPACT AT LEVEL 3 - DIFFUSION
The third layer denotes the diffusion of the Design Thinking ethos within the analysed semi-closed
10
ecosphere of the CDTM.
As indicated in the introduction, to analyse how teaching Design Thinking to a limited group
of participants affects the surrounding ecosphere on an institutional level, we conducted 33
interviews with non-participants, who are likely to work with workshop participants in other
group projects. We interviewed a student body in the age between 20 and 31 years. Most of
them were regular students (23), PhD-students (4) or student entrepreneurs (6). The
interview group consisted of the following study backgrounds: business studies (14),
computer science (11), Engineering (6) or other study programs (2).
To evaluate the impact of the Design Thinking workshop format in a non-design context on
an institutional level, we inquired after the conversations participants held with non-participants.
Almost all participants (90%) actively talked to non-participants about the
workshop, thereby spreading their perception, understanding and opinion. About 35% of the
participants even shared some of the workshop material with non-participants.
When asked about prior contact with Design Thinking, 90% confirmed that they had at least
heard about it beforehand. Table 6 depicts the sources of information on Design Thinking:
Percentage Source of information
60% Participants of the Design Thinking workshop
24% General media
24% University lecture
18% Friends, family, other acquaintances
15% Specific literature
9% Previous Design Thinking workshop (not at CDTM)
3% Business case
0% Major topic in main studies
Table 7 - Exposure of non-participants with the topic of Design Thinking
Article’s Title
Table 7 illustrates the impact of the Design Thinking workshop in terms of word of mouth on
the whole institutional level. This dataset provides evidence that teaching Design Thinking to
a limited subgroup of a slightly larger student body tremendously helps to spread the
knowledge of Design Thinking.
During the interviews we identified a clear need for an increase in teaching Design Thinking
to non-designers. Figure 5 shows a clear gap between the overall interest of non-participants
how extensive is your knowledge on design thinking?
11
and their personal judgement on their knowledge about Design Thinking. We
think that the overall interest in the topic is partially explainable by the high percentage of
word-of-mouth “advertisement” by workshop participants.
We see concrete evidence on the hypothesis that teaching Design Thinking to a smaller
subset of a larger, yet (on an institutional level) closed student body can infect an entire
institution and significantly improve the perception and importance of Design Thinking.
On your personal judgment,
1 2 3 4 5
How do you rate your overall, personal
interest in the design thinking approach?
1 2 3 4 5
Non-participants min avg med max
Non-participants min med
avg max
Figure 10 - Quantitative interview results on the overall, personal interest in Design Thinking as well as a personal
assessment of the personal knowledge on Design Thinking. Quantitative scaling ranging from 1: absolutely no interest/
knowledge to 5: significant interest/ knowledge. The plot illustrates minimum, maximum, average and median values.
Source: own illustration
Although non-participants’ lack of knowledge about Design Thinking needs to be countered
by an increase in direct teaching activity, our interviews indicate that an indirect flow of
information through the intermediary of workshop participants (i.e. exchange of material or
word-of-mouth) can significantly improve the general grasp on Design Thinking within a
given ecosystem. Table 8 illustrates the definitions of non-participants in relation to their
source of information:
Interviewee Perceived role of Design Thinking Source of
information
#1 ―I It is about thinking out of the box, how to improve scenes in everyday life […]‖ workshop participant
#2 ―Getting/Conceptualizing new ideas by visualisation techniques and by creating
models.‖
workshop participant,
general media
#3 ―A method to come up with innovative ideas and solutions systematically.‖ workshop participant,
lecture
#4 ―Approaching problems/challenges of all sorts with the mind-set that their
solution needs to be developed from the perspective of comprehensive design,
i.e. the person, the context, the materials, etc.‖
workshop participant,
business case
#5 ―A set of creativity methods that are used in a workshop format in order to
develop products or services that are radically new.‖
workshop participant,
general media, friends
#6 ―A mind-set to focus on use cases - people, problems, context - when creating a
solution (product/service/measure).‖
workshop participant,
specific literature
#7 ―Creative, systematic and interdisciplinary approach to innovative solutions.‖ general media
#8 ―It's a methodology and process, which is used to understand and solve a
defined problem.‖
workshop participant,
specific literature
#9 ―A design approach that does not focus purely on aesthetics of a product. It
rather applies workflows known from design schools to a much larger class of
problems. e.g business processes.‖
workshop participant
#10 ―Design Thinking is a methodology to support the development of user-orientated
solutions for any kind of problem/challenge.‖
general media,
specific literature,
lecture, previous
workshop
Table 8 - Definitions of Design Thinking provided by non-participants – excerpt of interview results
BOSTONUSA](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-16-320.jpg)
![1999), adopted by scientists ever since (Pedersen, 2002). Alan Westin distinguished three privacy
types, depicting attitudes towards privacy with regard to data security and informational protection,
divided into privacy fundamentalists (1), privacy pragmatists (2) and privacy unconcerned (3) can be
found in his research findings (Westin, 2001). This extract of the analysis of the private sphere
indicates the variety of theoretical models. Nevertheless no exhaustive, all-encompassing structure of
privacy is offered: hence our motivation to approach the perception of privacy empirically through
quantitative analysis, focusing on real-life examples of what’s considered “private”.
1.2 Empirical Approach – Quantitative Identification of Privacy Perceptions through
Survey
In order to gauge how the public and private spheres are experienced, a quantitative survey was
conducted to gather concrete interpretations. 197 respondents between the age of 16 and 63 were
asked to name private/ public situations and conflicts. Furthermore, diverse implicit and explicit
strategies to gain privacy in a public setting were inquired upon. The analysis was conducted via an
online survey, all gathered example cases were clustered by topic and structured into three
infographics: privacy perceptions (1), privacy/ public conflicts (2) and privacy strategies (3). This
chapter highlights the first, linking practical privacy perceptions to the theoretical privacy structure
derived from the previous literature review.
1.3 Proposed Model of Privacies – Segmentation and Visual Mapping
Literature and empirical analysis centers around one point: privacy is not a fixed and visible frontier
between personal and public matters, but rather a flexible, permeable membrane of situational,
selective accessibility - or lack thereof - to the self (Nippert-Eng,2007). This interactive negotiation of
the protected elements of the self, versus the ones that are shared identifies the process of defining and
delimiting privacy. Therefore, this paper uses the degree of interactivity to structure privacy:
Figure 1. Degree of interaction structures privacies [own illustration]
The scientific research underlying this paper distinguishes three types of privacy: physical, social and
contentual. Furthermore it proposes a concentric, layered structure to visualize four degrees of
privacy: the relative distance towards the center ranges from maximal interaction (circle core, red) to
maximal isolation (circle edges, white). Each dot is an empirically gathered answer to the question
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“name a situation in which you experience privacy”. The dot distribution indicates that privacy can be
perceived at any position in this structure, in situations of complete isolation and complete interaction.
Thus this proposed information architecture distances itself from dialectic segmentations that attribute
privacy to one of the poles, usually defining privacy as isolation and lack of interaction.
The public sphere is often considered the opposite pole to the private sphere (Sokol, 2001),
(Brendgens, 2005). However, the clear edge between them has become blurred (Hitzler, 1985) and
both notions appear intertwined: it is possible to experience privacy in public, and vice versa. Among
the reasons for this blend, only a few are alluded to in this paper: the development of information and
communication technologies allowing the public sphere to enter and be actively used to share formerly
private situations, the digital revolution and shift towards virtual networks and marketplaces, logging
our location, filming our behaviour in public, leaving a trail on the web (Harvard Symposium, 2011).
Furthermore the understanding of collectivity and social groups has shifted away from the boundaries
of a family to larger communities, changing the collective/ individual perception (Struppek, 2002) and
the “sharing behaviour” of its members. Habits, linguistic expressions, customs and cultural codes
have become less local, increasing connectivity with people from a variety of cultures and social
backgrounds and reducing the frontier between an individual’s private and public persona. All these
elements lead to the potential for public/ private conflicts, which were analysed based on empirically
gathered responses in the same online survey.
2 PRIVACY CONFLICTS AND STRATEGIES – MAPPING EXAMPLES
In the aforementioned survey, experienced challenges and solutions of the private and public sphere
were further inquired upon.
2.1 Privacy Conflicts – Duality of Control between an Individual and their
Surrounding
When asked to name conflicts of privacy/ public, the answers of 197 respondents can be grouped into
two causal zones: privacy/public conflicts caused by a loss of control by the individual through the
inability to protect one’s privacy (1) and privacy/public conflicts caused be the privacy of others
invading on an individual’s privacy in public (2). This can furthermore be structured in the trichotomy
of physical, social or contentual private/ public conflicts and mapped in an infographic (fig. 2).
Figure 2. Duality of taking/ losing control structures privacy conflicts [own illustration]](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-20-320.jpg)
![What emerged from the analysis of privacy conflicts wasn’t only the variety of situations in which the
private and public spheres clash, but also the interesting frequency of occurrence of conflicts relating
to the mobile technology sector.
2.2 Privacy Strategies – Methods to Acquire and Protect and Ephemeral Private
Sphere in Public
Analogue to the previous analysis, clustering and mapping of conflicts, the empirical study yielded
quantitative insights into strategies to acquire and preserve privacy in a public context. When asked
“how do you generate/ protect your privacy in a public setting”, the examples of all survey
respondents can be structured according to their degree of initiative (proactive or reactive, x-axis) and
degree of interaction (isolation versus interaction, y-axis), covering clusters of “adapting” (maximal
reactive interaction) to “attack” (maximal proactive interaction), “cocooning” (maximal reactive
isolation) and “evasion” (maximal proactive isolation).
Design is a crucial element to generate product and service solutions, in broader terms: shaping human
experiences. Therefore any action geared towards creating privacy in a public setting can be defined as
a design solution and placed along this structured by a dot (fig. 3). The diversity of possible privacy
strategies emerges in this visual overview of the status quo of currently used strategies to create,
communicate or defend one’s privacy in the public eye:
Figure 3. Cases of (re)gaining privacy by degree of initiative and interaction [own illustration]
The interesting discrepancy arising from the analysis of 2.1 and 2.2 is the high occurrence of mobile
technology as a key privacy conflict, in light of the very limited field of privacy strategies that are
currently used in the mobile technology – indicated in blue in fig. 3.
When viewing ubiquitous communication via mobile technologies as a metaphor for the public eye,
this translates the decennia old privacy/ public conflict in our modern day and age: what are the
implications of mobile technology on privacy and vice versa? Which privacy perceptions, conflicts
and strategies given by users of mobile technology in the analogue world make sense in the mobile
context and how is the issue currently approached by the other end of the spectrum: the people
developing mobile technology solutions?
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3 PRIVACY IN MOBILE TECHNOLOGIES – EXAMINING THE
PERSPECTIVES OF MOBILE SOFTWARE DEVELOPERS
As illustrated in the previous chapter there is a jarring discrepancy between aspects that cause privacy
conflicts in mobile technologies and strategies to obtain privacy, the latter being mostly physical,
immediate interactions between humans. It is, however, still not clear whether strategies simply misfit
the conflicts or whether the technology itself fails to offer adequate solutions.
While previous research has shed some light onto user concerns regarding privacy in a mobile context
(Barkhuus and Dey, 2003), only little attention has been paid to the attitudes and practices of those
who design and create the technological artifacts - mobile developers. To close this gap, this paper
presents an empirical account for the privacy concept, conflicts and strategies within mobile software
development from the perspective of developers.
3.1 Empirical Approach – Qualitative Investigation of Privacy through Unstructured
Interviews
The qualitative part of this paper uses unstructured interviews as a means of data collection. The
sample consists of 9 software developers, 8 males, 1 female.
All interviewees were self-employed, that is either working as a freelance developer or having
founded their own company. Half of the participants were working either part- or full-time for clients
that were not the end users themselves. Industries that the interviewees have worked in include as far
as mentioned: health, education, event management, location-based services, media and entertainment.
All interviews were digitally recorded, transcribed and analysed.
The qualitative analysis was software-aided and its theoretical background relies on the grounded
theory method according to Strauss & Corbin (2008). Grounded theory is an approach to data analysis
within which a theory is derived inductively from empirical phenomena. It involves an iterative,
circular process consisting of data gathering, data analysis and theory construction.
3.2 Results – Privacy Concepts, Conflicts and Strategies from the Perspective of
Mobile Developers
The data accumulated through the unstructured interviews was subjected to an inductive analysis. All
insights presented are grounded in the qualitative data. They reflect the statements made by the
interviewees and mirror their subjective understanding. Hence, the analytical details outlined below
cannot be generalized to the whole population of software developers and represent only for sample
referred to in this paper.
3.2.1 Privacy in Mobile Software Development – Three Dimensions of Informational Control
To explore the concept of privacy in the context of mobile technologies mobile developers were asked
how they define privacy. Privacy was unanimously portrayed as the degree of control over information
related to oneself, which also includes information about people one interacts with or is associated
with. However, to have control over self-related information does not automatically equal privacy.
Control can refer to a multitude of things such as knowing what happens with self-related data or the
amount and nature of third-party access to particular information, which can range from other single
users or social groups to advertising companies. The degree of control depends on a variety of factors,
which span three interdependent dimensions: social, technical and contextual. Those dimensions can
be synthesized into a model that depicts privacy in a mobile context as the degree of control over
information as outlined in figure 4.
What can be described as a continuum from interaction to isolation for the general concept of privacy
is converted into a continuum of control and lack thereof. The level of control in one dimension will
simultaneously affect control levels of the other dimensions.
The social dimension refers to aspects of identity of the self or others that one interacts with. Hence, a
breach of privacy could be the possibility to tie a person’s activities to their real identity or to track,
collect, store and/ or share information about them.](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-21-320.jpg)
![Figure 4. Control structures privacy in a mobile context [own illustration]
However, what is perceived as a violation of privacy in one context can be experienced as appropriate
in yet another context, bringing the contextual dimension into play. A user might be happy to give
away personal geo-location data, if in turn they are provided with a useful service. However, the
analysis of personal correspondence for the same reason might be perceived as objectionable. In this
case the context will determine the subjectively perceived degree of control and its relevance to the
user.
Finally, the technical dimension, though somewhat peripheral to the construction of a privacy concept,
bears tremendous influence on it. Technical aspects of an application can dictate whether or not the
social details of a user are disclosed in any given context, making aspects such as consent and trust
obsolete. Technology, though located on the outskirts of what constitutes privacy, penetrates to the
very core of it by being able to take away the control from the user at any time.
All in all developers characterized privacy as an elusive, relative term. It is not an action or a particular
state of being per se that defines privacy as warranted, but the affective, intraindividual evaluation of a
person about what is appropriate and what is not. Moreover, in a mobile context this mental model is
expanded by a technical dimension, which has enormous power over the degree of control.
Given this disproportionate influential distribution, technological aspects can be the cause of a
plethora of privacy conflicts.
3.2.2 Privacy Conflicts – A Bipolar Continuum of Technical and Social Violations
As part of the interview developers were further questioned about privacy conflicts with regards to
mobile technologies. They should describe conflicts that they were generally aware of, experienced
themselves or have been confronted with by their users. A privacy conflict in the context of mobile
technologies was defined as unwanted access to or distribution of information. Conflicts, then, are a
violation of informational autonomy that results in undesired usage of information. Depending on the
cause and type of violation conflicts can be positioned on a bipolar continuum between technical and
social violations.
A technical violation is mostly economically motivated and associated with material loss. This can for
example involve hacking an account and/ or gaining access to sensitive data, such as financial details
or the tracking and selling of user specific information to another party, such as an advertising
company. A social violation is associated with embarrassment and reputational damage. Access and
distribution of sensitive information to other members of various social groups or the general public
result in an aversive emotional state. This can for example include reading a personal message or
using functions of a mobile application, such as a rating or review function, to share inappropriate
information. Technical violations do not only require specific knowledge to access and distribute
SEOULSOUTHKOREA
information, they also rely on the objective validity of that information. There is no use in erroneous
banking details or shopping preferences. Social violations, however, do not have to be genuine in
nature to constitute a threat. Also, while technical violations are mostly consciously motivated by
some material gain, social violations entail numerous motivations, which can be conscious or
unconscious. A person can accidentally read a private message and thereby unknowingly violate
someone’s privacy. Likewise, a person can engage in punitive, malicious or derisive behaviour and
deliberately access and spread information.
In the same way conflicts are continuously distributed between two poles, also privacy strategies can
be positioned on a continuum between measures that are technologically-aided and measures that rely
on proper conceptual design of an application.
3.2.3 Privacy Strategies – Acquiring Privacy through Technical and Conceptual Design
In light of the diverse causes of privacy conflicts, developers were subsequently asked to discuss
strategies to prevent or resolve those conflicts. In particular they should assess the role of the user
within the privacy debate as well as elaborate on strategies to protect privacy. Those strategies do not
only include current actions and procedures, but also the assessment of future solutions to previously
discussed conflicts. Developers expected users to be mindful and responsible with regards to the
information they provide deliberately. However, they highlighted that technology ought to enable the
user to fulfill those characteristics. Strategies depicted by the developers can be segmented in technical
and conceptual strategies. Technical strategies refer to measures such as the encryption and secure
storage of data, establishment of secure communication protocols as well as thorough data deletion
and restriction of third-party access. Those strategies were viewed as straightforward and rather clearly
defined. Conceptual strategies, however, were perceived to be more complex. They refer to all the
interaction points with user and essentially touch upon the design of an application, which should
make it easy for users to protect their data and share it responsibly. Conceptual strategies discussed by
the developers included the adequate design of good and protective default settings. Further,
transparency has to be established, that is, users need to be informed about changes in the system and
its functionality as well as provided with explanations as to why certain permissions to their data are
necessary. Moreover, a correct construction of language is essential, which will provide information in
a clear and concise way.
4 DESIGN TOOL – DEVELOPMENT OF A BETA-VERSION TOOL FOR
PRIVACY IN PUBLIC
The quantitative empirical research in this paper illustrated a complex layered, multidimensional
model of privacy structured by degrees of interaction with most privacy conflicts occurring in the
context of mobile technologies, but most strategies employed by users being inept in this context.
A qualitative analysis of the privacy concept in mobile software development revealed that although
conflicts and strategies can be technology-related as well as technology-aided, most of them rely on
user interaction and the design behind the technology to a very high degree.
Hence, this paper combines analogue user strategies of maintaining privacy with digital solutions from
developers to create a design tool that will address this issue area. The design tool represents a user-generated,
searchable database, which can be consulted via a website/ smart device application. It is
comprised of cases that on the one hand communicate real-life privacy conflicts related to mobile
technologies and on the other hand map them to user-generated design solutions.
The tool is meant to be a living document that is enriched by everyday experiences and paired with
sophisticated, crowd-sourced solutions as to how to manage them.
The first working prototype is equipped with conflicts and respective solutions from the research
outlined in this paper and will be augmented and substantiated by user-generated content. The tool
provides a platform for design and engineering professionals to interact with their users as well as
colleagues and enables them to solve existing or upcoming conflicts.](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-22-320.jpg)
![Figure 5 –Beta-Version of Design Tool mapping privacy perceptions, conflicts and strategies
[own illustration]
5 CONCLUSION AND FUTURE OUTLOOK
This paper outlines the transdisciplinary theoretical and empirical analysis of privacies in the mobile
technology context, resulting in a structural model of (1) perceptions of privacy, (2) the conflicts of
privacy within ubiquity as well as mobile technologies, (3) the strategies to acquire and protect privacy
and (4) the decoding privacy design tool, aimed at mobile developers and designers. By combining
methods from design thinking, social sciences and product engineering, the design tool developed in
this research positions design sciences at the core of solving one of future’s most pressing challenges –
privacy in light of mobile technologies.
The concluding design tool consolidates and visualizes all information and serves as guideline and
case collection towards developing better product and service solutions in a variety of physical and
virtual applications. It allows designers and developers with a design problem in the field of privacies/
ubiquity to position their specific case within the layers, thus clearly (re)defining their problem within
the theoretical and empirical framework. Furthermore, neighbouring examples can be viewed, risks for
similar conflicts assessed and a broad diversity of privacy solutions using multiple strategies
evaluated. This Design Tool is currently in its beta phase, being tested by two design teams in Brussels
and Munich and improved before going live, presumably late summer 2013. In its next phase, the
design tool will allow accumulation of user-generated content: enabling users to learn from input,
examples, insights and mistakes fellow designers or mobile developers have encountered.
Despite the theoretical and practical implications of this work it should be noted that future research is
necessary to further explore some of the insights gained in this research. Though there is a strong
negative correlation between privacy conflicts and currently used strategies, no definitive causal
conclusions can be made. Additional investigations should address these aspects and specifically tie
privacy strategies to the respective conflicts. Furthermore, the analysis of mobile developers’ privacy
concept is qualitative in nature and hence insights derived from this work are limited to the specific
sample. Future research should explore whether the analytical results can be validated for developers
from different cultures and industries.
REFERENCES
Allen, A.L. (1987) ‘Taking Liberties: Privacy, Private Choice and Social Contract Theory’, University
of Cincinnati Law Review, vol. 56, rev.461.
Allen, A.L. (1999) ‘Coercing Privacy’, William and Mary Law Review, vol.40, no.3, rev.723.
Altman, I. (1975) The environment and social behaviour: privacy, personal space, territory, crowding,
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Barkhuus, L. & Dey, A. (2003), ‘Location-based services for mobile telephony: a study of users’
privacy concerns’, Proceedings of the INTERACT 2003, 9TH IFIP TC13 International Conference on
conclusions can be made. Additional investigations should address these aspects and specifically tie
privacy strategies to the respective conflicts. Furthermore, the analysis of mobile developers’ privacy
concept is qualitative in nature and hence insights derived from this work are limited to the specific
sample. Future research should explore whether the analytical results can be validated for developers
from different cultures and industries.
SEOULSOUTHKOREA
REFERENCES
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Altman, I. (1975) The environment and social behaviour: privacy, personal space, territory, crowding,
Brooks/Cole Pub. Co.
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privacy concerns’, Proceedings of the INTERACT 2003, 9TH IFIP TC13 International Conference on
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ACKNOWLEDGEMENTS
Sincere Thanks to Sandra HIRSCH and Prof. Fritz FRENKLER at Technical University Munich,
Lukas MURMANN, Miriam ALTHAMMER and Philipp WALZ for the urban privacy research in
Munich and Johannes LECHNER and Albert FELLER for IT and coding support in building the Beta.](https://image.slidesharecdn.com/2014briskdesignthinking-insights-141120031503-conversion-gate02/85/Design-Thinking-Field-Research-23-320.jpg)
Design Thinking Field Research
- 1. DESIGN THINKING FIELD INSIGHTS
- 2. WE help you create UNIQUE, futureproof, human - centered, products, processes & SYSTEMS THROUGH Design Thinking DESIGN THINKING WORKSHOPS Exploring, Framing Co-Creating Our hands-on workshops use the process, tools and methodology of Design Thinking to guide individuals, teams and organisations in the ambiguous field of front-end innovation. By combining topics and formats, the workshops, toolkits and insights are tailored to the participants. DESIGN RESEARCH INSIGHTS We are avid on-site field researchers, immersing ourselves in the target group, observing, interviewing, co-creating to capture their specific and unique human needs & expectations with methods from anthropology, ethnography and design research. We’ve published these insights at conferences in London, Copenhagen, Boston, LeMans, Munich and Seoul. DESIGN METHODOLOGY TOOLKITS We translate and consolidate our applied research and workshop experiences into compact, intuitive workable toolsets for immediate use in innovation processes and product development settings, custom-tailored to your specific business context. Leave the Lab Roadmaps to Design Thinking workshops insights toolkits
- 3. workshops insights toolkits LEAVE THE LAB. DESIGN THINKING RESEARCH
- 4. COOK&CONNECT: URBAN COLLABORATIVE COOKING SPACES WITH LOCAL PRODUCE Development of a Product-Service-System responding to the global cultural, social, economic, demographic trends of individualisation, age divide and disconnection from local cultures in megacities. The proposed urban self-catering concept is designed as an interactive space, integrated in its urban context: a meeting place to discover food, local produce, cultural heritages and an offline, analogue connection with one’s setting. Participants: 4 Industrial Designers: Maria Lobisch, Caro Timm, Jens Pohl, Diana Schneider Output: Project recap. Awarded French National Design Prize 2012 in LeMans Conference Publication, Intl. Conference of Food Design, London LEMANSFRANCE RESEARCH DISTILLED INTO GUIDELINES TRANSLATED BY DESIGN Institut Français Du Design
- 5. Un projet très conceptuel qui reformule “ la problématique initiale en proposant non pas un espace privatif mais un espace collectif, chaleureux et adaptable afin de favoriser l’élaboration et la prise des repas en commun. Objectif : anticiper comment la nourriture peut jouer un rôle de premier plan dans l’interaction sociale, pour un monde qui s’urbanise et s’individualise de plus en plus et privilégie le nomadisme Mme. Anne-Marie SARGUEIL ” Présidente de l’Institut Français du Design LEMANSFRANCE
- 6. EXPLORING THE IMPACT OF CONTEXT FACTORS ON CORRECT AND QUICK INTERFACE USE IN PUBLIC SETTINGS Motivated by the lack of information about the influence of context on interface use, this study aimed to improve public HMI design through the understanding of surrounding factors and their impact on a quick, succesful useability. An empirical study with 55 test persons was conducted in different settings in Munich, 2010. The output of this combined literature and empirical study was presented at the SIDeR Conference, hosted by the DTU, Copenhagen, 2011. Participants: 22 women, 33 men, aged 21-64 years, Munich fellow design researchers, Andreas SCHUSTER and Fabian GHOSHAL Output: Conference Publication detailing the social and spatial impact of public interface use Roadmap: Literature review Fictitious booking exercice on a touchscreen Analysis of failure rates, time of completion and preferences by age and gender in 4 context archetypes COPENHAGUEDENMARK URBAN INTERFACE RESEARCH Design Management Institute
- 7. COPENHAGUEDENMARK Impact of Context Design on Interface Use in Public Settings Diana Schneider M.Sc. Industrial Design, student Technische Universität München diana_schneider@mytum.de Impact of Context Design on Interface Use in Public Settings Hons. Deg. Digital Technology Management, student Diana Schneider CDTM, Elitenetzwerk Bayern M.Sc. Industrial Design, student Technische Universität München diana_schneider@mytum.de Hons. Deg. Digital Technology Management, student CDTM, Elitenetzwerk Bayern 1 / 5 ABSTRACT This research paper was motivated by the search for information on the influence of surrounding settings on interfaces. The goal of this study is to improve public interfaces by understanding the context in which interfaces are being used, rather than the design itself. Combining scientific literature and the results of a field test conduct-ed in Munich in December 2010, this paper analyses the impact of setting-dependant factors room size, overview of surroundings, pres-ence of passers-by and peer feedback on the fast, faultless use of a graphical interface, proving that spatial and social aspects influence the objective performance and subjective experience of interface use. To optimize the Human-Machine interaction (HMI) of public inter-faces, this paper suggests that its design include all influencing fac-tors and extend traditional HMI guidelines to include ambient design elements. Keywords Public interface design, spatial and social context, ambient design 1. INTRODUCTION We are confronted with user interfaces both in private and public. While the former is mainly constituted of personal devices of private, solitary interaction, this paper focuses on four types of publics. Navigating in an indoor public setting, we encounter interfaces from subway ticket machines, airport check-ins, ATMs, info booths to supermarket self-service cashpoints. By its public nature, the usage of such interfaces is unavoidably subject to error and displeasure. Despite literature about the arrangement of elements on UI-surfaces, ergonomics, inclusive design and Gestalt-principles of visual percep-tion, traditional HMI guidelines appear insufficient to design an op-timal public interface experience. According to Bratteberg and Kris-toffersen this is caused by the inaptitude of such principles to consid-er the human trait to validate our behaviour in public through con-stant comparison with surrounding people [12]. The relevance of interface context stems from the ability of public spaces to influence the behaviour in them [3]. Architecture and de-sign create the framework for communication/ transaction between people in public [15]. It is thus interesting to analyse whether in addi-tion to influencing human-human-interaction public places also affect the human-machine-interaction. 2. THE PUBLIC FRAMEWORK TO INTERFACE-USAGE Space is the transaction area between physical setting and the people acting within [2], divided into private, social and public space. The latter comprises surroundings that are freely entered without authori-zation (airports, stations, malls) [11], not controlled by individuals/ groups, but accessible to the entire population [4]. This interactive, sociable, democratic and self-organized [14] public place serves as joining surface between private places, fulfilling functional and sym-bolic purposes [16]: the physical-social interface between people and urban interests [14]. 2.1 Differentiation of Public and Private Places UI usage in public differs from UI in private surroundings [4]. First-ly, public space presumes a variety of users with diverse precondi-tions, (inter)acting according to age, knowledge, technology habit and linguistic/ cognitive skills. Products in public should allow intui-tive interaction without previous training, instead of being tailored to a single, regular user [8]. Furthermore, in public the interacting user is surrounded by uninvolved individuals, inducing a feeling of „being observed‟, triggering caution or concern [6]. In addition, public spac-es contain stressors such as noise, limited light or surrounding people [2], subliminally or obtrusively deflecting the user‟s focus from the interface. Furthermore they are more frequently navigated through with goal-oriented purpose [16], thus navigating through urban pub-lic spaces demands more attention than acting in private [9]. 2.2 Public elements influencing Human Behaviour Context (environment, motivation, individual differences, precondi-tions, mental models, attention) influences human perception, cogni-tion [16], concentration and judgement. Research on human cogni-tion suggests an increased perception of human movement and faces, exceeding perception of signs [18]. Goodman and Paulos describe this phenomenon in their interpretation of Milgram‟s theory as allo-cation of navigational cues to people, rather than objects: „human markers‟ to structure and influence our feeling of belonging in cer-tain publics [6]. This coincides with scientific findings of using peo-ple‟ s reaction to our behaviour to reflect and qualify our actions [1]. Goffman [5] takes this further by comparing social behaviour in pub-lic to a theatre scene in which everyone plays a role according to the social setting they‟re in, stabilizing their role coherence throughout different contexts. This induces embarrassment, shame and reduced self-esteem when incapable to project this public image [17] in pub-lic, where we are constantly exposed to peer judgment. Mistakes - such as the faulty use of airport-interfaces in a field test by Bratte-berg and Kristoffersen- entail unwanted exposure („protruding‟) to peers [12]. This behaviour is based on the psychological principle of affordance: the interpretation of action-prompting context factors, physical (iden-tifying building entrances) and social (recognising what others are doing) as reference for our own behaviour [10]. For instance, the „honeypot effect” [7] describes how passers-by approach a public interface when they notice active users in front of it. These elements pave the way for a contextual approach to HMI. 1 / 5 ABSTRACT This research paper was motivated by the search for information on the influence of surrounding settings on interfaces. The goal of this study is to improve public interfaces by understanding the context in which interfaces are being used, rather than the design itself. Combining scientific literature and the results of a field test conduct-ed in Munich in December 2010, this paper analyses the impact of setting-dependant factors room size, overview of surroundings, pres-ence of passers-by and peer feedback on the fast, faultless use of a graphical interface, proving that spatial and social aspects influence the objective performance and subjective experience of interface use. To optimize the Human-Machine interaction (HMI) of public inter-faces, this paper suggests that its design include all influencing fac-tors and extend traditional HMI guidelines to include ambient design elements. Keywords Public interface design, spatial and social context, ambient design 1. INTRODUCTION We are confronted with user interfaces both in private and public. While the former is mainly constituted of personal devices of private, solitary interaction, this paper focuses on four types of publics. Navigating in an indoor public setting, we encounter interfaces from subway ticket machines, airport check-ins, ATMs, info booths to supermarket self-service cashpoints. By its public nature, the usage of such interfaces is unavoidably subject to error and displeasure. Despite literature about the arrangement of elements on UI-surfaces, ergonomics, inclusive design and Gestalt-principles of visual percep-tion, traditional HMI guidelines appear insufficient to design an op-timal public interface experience. According to Bratteberg and Kris-toffersen this is caused by the inaptitude of such principles to consid-er the human trait to validate our behaviour in public through con-stant comparison with surrounding people [12]. The relevance of interface context stems from the ability of public spaces to influence the behaviour in them [3]. Architecture and de-sign create the framework for communication/ transaction between people in public [15]. It is thus interesting to analyse whether in addi-tion to influencing human-human-interaction public places also affect the human-machine-interaction. 2. THE PUBLIC FRAMEWORK TO INTERFACE-USAGE Space is the transaction area between physical setting and the people acting within [2], divided into private, social and public space. The latter comprises surroundings that are freely entered without authori-zation (airports, stations, malls) [11], not controlled by individuals/ groups, but accessible to the entire population [4]. This interactive, sociable, democratic and self-organized [14] public place serves as joining surface between private places, fulfilling functional and sym-bolic purposes [16]: the physical-social interface between people and urban interests [14]. 2.1 Differentiation of Public and Private Places UI usage in public differs from UI in private surroundings [4]. First-ly, public space presumes a variety of users with diverse precondi-tions, (inter)acting according to age, knowledge, technology habit and linguistic/ cognitive skills. Products in public should allow intui-tive interaction without previous training, instead of being tailored to a single, regular user [8]. Furthermore, in public the interacting user is surrounded by uninvolved individuals, inducing a feeling of „being observed‟, triggering caution or concern [6]. In addition, public spac-es contain stressors such as noise, limited light or surrounding people [2], subliminally or obtrusively deflecting the user‟s focus from the interface. Furthermore they are more frequently navigated through with goal-oriented purpose [16], thus navigating through urban pub-lic spaces demands more attention than acting in private [9]. 2.2 Public elements influencing Human Behaviour Context (environment, motivation, individual differences, precondi-tions, mental models, attention) influences human perception, cogni-tion [16], concentration and judgement. Research on human cogni-tion suggests an increased perception of human movement and faces, exceeding perception of signs [18]. Goodman and Paulos describe this phenomenon in their interpretation of Milgram‟s theory as allo-cation of navigational cues to people, rather than objects: „human markers‟ to structure and influence our feeling of belonging in cer-tain publics [6]. This coincides with scientific findings of using peo-ple‟ s reaction to our behaviour to reflect and qualify our actions [1]. Goffman [5] takes this further by comparing social behaviour in pub-lic to a theatre scene in which everyone plays a role according to the social setting they‟re in, stabilizing their role coherence throughout different contexts. This induces embarrassment, shame and reduced self-esteem when incapable to project this public image [17] in pub-lic, where we are constantly exposed to peer judgment. Mistakes - such as the faulty use of airport-interfaces in a field test by Bratte-berg and Kristoffersen- entail unwanted exposure („protruding‟) to peers [12]. This behaviour is based on the psychological principle of affordance: the interpretation of action-prompting context factors, physical (iden-tifying building entrances) and social (recognising what others are doing) as reference for our own behaviour [10]. For instance, the „honeypot effect” [7] describes how passers-by approach a public interface when they notice active users in front of it. These elements pave the way for a contextual approach to HMI.
- 8. 2 / 5 3. INTERFACE USAGE IN PUBLIC: THE EXPER-IMENT 3.1 Four Types of Public Space To quantify ambient influences on the use of interfaces in public, four location-types of indoor public space were distinguished. The graphic presentation shows the groundplan and entrances (black out-lines), flux (arrows) and room size (man icon). 3.1.1 Setting A: Atrium This high-ceilinged, large room is a passageway with a pre-defined movement flux to/out of the adjacent room: an open transit space with limited exit points, reverberant acoustics. Fig 1. Type A: Atrium 3.1.2 Setting B: Workfloor This high-ceilinged, crammed room is used as workshop for station-ary (standing/ sitting) and transitory (navigating between tables and adjacent rooms) streams of people, passers-by and standers-by [13]. Fig 2. Type B: Workfloor 3.1.3 Setting C: Hallway-Intersection In this T-intersection, the lectern was placed facing one hallway, joined at a 90° angle left and right by corridors that could only be seen in peripheral vision, with an elevator behind the user. Fig 3. Type C: Hallway-Intersection 3.1.4 Setting D: Separate Room This small, vacant, room-height is a silent, secluded environment in which the unique entrance door is within vision. Fig 4. Type D: Separate room A – Atrium B – Workfloor C – Hallway D – Seperate room Social aspects Irregular lim-ited people stream Work atmos-phere and busy rush Transit room with constant flux and talks Separate, empty room Spatial aspects Back towards room, distance to onlookers Back towards adjacent room, view over room Crossroads of hallways, no view over oncoming flux Back towards corner, only door in view during use Stressor Reverberant accoustics Workshop noise, mess Unpredictable elevator No peer feedback 3.2 Modus operandi: touchscreen followed by survey The test consisted of a touchscreen exercise in eight public locations -to overcome studio-based contemplation [1]- with two locations per setting type to cross-check its validity. It included 55 test persons, 33 men, 22 women, 21-64years in Munich, Germany, Dec. 2010 The fictitious booking task was: ‘Book a window seat from Munich to Milano on January 24th in the morning’. To complete this, the user had to click through an iPad picture-sequence, with different input-actions (clicking, selecting, pointing). A wrong click resulted in a re-start, applying Bratteberg and Kristoffersen‟s principle of „reversibil-ity‟ [12]. Then, the test user was given their time and a survey as-sessing, booking behaviour, perception of surrounding, terminal preference, social attitude and interface feedback. 4. RESULTS: THE SOCIAL AND SPATIAL COM-PONENT OF PUBLIC INTERFACE CONTEXTS 4.1 Time varies according to setting The time to complete the task is mapped in the following boxplot. The fastest median was achieved in D, indicating that being in a qui-et, separate room is ideal to focus on an interface. This setting had the smallest variance, hence the most stable test results. However, the fastest user was in the atrium, even though setting A had the slowest median. The slowest was at the T-intersection hallway-crossing (C). Fig 5. Boxplot of Time (in sec.) per Setting 3 / 5 It can be deduced the context should offer safety, shelter, distance to passers-by and the feeling of not being observed (D) if the applica-tion requires a diverse user base completing the task at similar speed. Interfaces for which variance in time by different users does not lead to disruptions can be placed in busy surroundings (B, C). Room-height (3m) enhances fast interface use (D, C), however this effect is annulled by unpredictable people-flux or impaired vision over sur-roundings (C). Even though noise (A, B) leads to overall slower in-terface use, this doesn‟t hinder individuals to master the test quickly. 4.2 Failure rates vary according to setting When set in rooms with high people streams, the failure rate to com-plete an interface task is higher. This is particularly noticeable in the hallway (C) and workshop (B). The failure rate of the Atrium (A) and the separate room (D) are comparable, even though they differ spa-tially (large vs. small room) and socially (people vs. empty room). Fig 6. Proportion of mistakes per setting The interpretation of failure rates indicates that the combination of distance to (or absence of) passers-by, silence, clearly-arranged set-ting and no unpredictable disruptions enhance flawless HMI.The view over the surroundings can be obtained through separating inter-faces (semi-high walls) or large, open rooms with one direction of movement (A). If the HMI needs to be placed in a context of unpre-dictable people flux from different directions (C), it is necessary to allow mistakes without forcing the user back to the start-page. Room height seems to play only a minor role. 4.3 Ambient stress caused by passers-by is considered more invasive than spatial factors To test the impact of surrounding people on interface usage, the sur-vey asked to judge 8 possible factors according to „bother-some‟/‟ doesn‟t matter, then clustered them into four categories: People Room Stressor Time Fig 7. Assessment of disturbance of public interfaces In the test users‟ assessment, time was most commonly named in all settings. The other three factors were not judged equally, depending on the test-setting. Disturbance by surrounding people is ranked highest where people physically intrude on the interface-user (C) or if there is no-one in sight (D) and lowest when peers are further (A) or not attentive to the interface-user (B). „Surrounding space‟ loses its mportance, the smaller the space. Men rated fewer factors „dis-turbing the interface‟. Women are more disturbed by surrounding people. Nennungshäufigkeit nach Geschlecht Es ist bemerkenswert, dass der Faktor „Platzmangel“ an Stör-Potenzial ver-liert, je kleiner die unmittelbare Inter-face- Umgebung. Außerdem ist es interessant an zu merken, dass männliche Probanden insgesamt weniger Faktoren als “stö-rend” Fig 8. Disturbance assessment of males + females 4.4 The Setting with the Broadest bewertet Overview haben, während over zirka the Surrounding is preferred die Hälfte aller weiblichen Probanden “Personen“ störend nannten. When asked which interface-setting they preferred out of three, the majority of respondents favoured the broadest view, compactness and lectern ergonomics (size, inclination). Bewertung Dreier Stereotyp-Umgebungen Fig 9: user assessment of HMI-archetype one Fig 10: user assessment of HMI-archetype two Fig 11: user assessment of HMI-archetype three Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig” und welche als “störend” empfunden wurden. Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden Nennungshäufigkeit der geclusterten Stör-faktoren je nach Untersuchungs-Kontext 22 Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig” und welche als “störend” empfunden wurden. Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden mit Umgehenden sowie Umstehenden direkt konfrontiert werden (C-Flur-Knotenpunkt in dem unbekannte Personen häufig und unvorhergesehen in direkter Interface-Nähe vorbeige-hen, stehenbleiben, nachfragen, einen Umweg um das Interface machen müssen), oder in jenen Interface-Umgebungen, in denen keine anderen Personen vorhanden waren (D-separater, men-schenleerer Raum). Wenn umgebende Peers weiter weg sind (A- Atrium) oder ihre Aufmerksamkeit nur peripher auf die Interface-Nutzung richten (B- Werkhalle in der umgehende Personen mit Geräten durch den Raum navigieren, ihrer eigenen Arbeit fokussiert nachgehen, nicht anhalten um sich über das Interface zu informie-ren) werden Personen nur begrenzt als Störfaktor wahrgenommen. Nennungshäufigkeit der geclusterten Stör-faktoren je nach Untersuchungs-Kontext Um den Einfluss der jeweiligen Faktoren zu testen, erfragte der Test welche der 4 als “gleichgültig” und welche als “störend” empfunden wurden. Der eigenen Wahrnehmung zufolge wurde „Zeit“ gemeinhin als Störfaktor beurteilt, während die anderen 3 Faktoren je nach Proband-Umgebung unterschiedlich eingeschätzt wurden. Der Störfaktor „Personen“ wurde am häufigsten genannt in Interface-Umgebungen, in denen Pro-banden Nennungshäufigkeit der geclusterten Stör-faktoren je nach Untersuchungs-Kontext Es ist bemerkenswert, dass der Faktor „Platzmangel“ an Stör-Potenzial ver-liert, je kleiner die unmittelbare Inter-face- Umgebung. Außerdem ist es interessant an zu merken, dass männliche Probanden insgesamt weniger Faktoren als “stö-rend” bewertet haben, während zirka die Hälfte aller weiblichen Probanden “Personen“ störend nannten. Bewertung Dreier Stereotyp-Umgebungen Umgebung 1: Wandaufstellung mit dem Rücken zum Raum Umgebung 2: Block-Aufstellung in Raum-Mitte Umgebung 3: Halbhohe Sockel-Aufstellung mit Raum-Überblick Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe Es ist bemerkenswert, dass der Faktor „Platzmangel“ an Stör-Potenzial ver-liert, je kleiner die unmittelbare Inter-face- Umgebung. Außerdem ist es interessant an zu merken, dass männliche Probanden insgesamt weniger Faktoren als “stö-rend” bewertet haben, während zirka die Hälfte aller weiblichen Probanden “Personen“ störend nannten. Bewertung Dreier Stereotyp-Umgebungen Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe Es ist bemerkenswert, dass der Faktor „Platzmangel“ an Stör-Potenzial ver-liert, je kleiner die unmittelbare Inter-face- Umgebung. Außerdem ist es interessant an zu merken, dass männliche Probanden insgesamt weniger Faktoren als “stö-rend” bewertet haben, während zirka die Hälfte aller weiblichen Probanden “Personen“ störend nannten. Bewertung Dreier Stereotyp-Umgebungen Umgebung Wandaufstellung Umgebung Block-Aufstellung Umgebung Halbhohe COPENHAGUEDENMARK
- 9. 4 / 5 This was verified by splitting users according to their interface use. Fig 12. Respondent distribution by booking habit The results were the same preference for the lectern and dislike of the wall-mounted interface, frequent users giving more severe ratings. This is correlated with the mentioning frequency of usability-enhancing factors, showing that interface-related factors (speed, comprehensibility) are considered equally important as context-related factors (silence, overview, distance and safety), with distance as highest significance. Remarkably, being hidden from view is more frequently named by test users in a secluded room (D). In hectic test environments (B, C) the speed was valued most frequently. Fig 13. Mentioning frequency usability enhancing factors Therefore the influence of spatial factors is not consciously rated (neither identified as „disturbance‟, nor named as „success factor‟), however the users prefer settings with a well thought-out spatial ex-perience (fig. 9-11). Silent and safe settings are preferred, thus appli-cations where noise and movement cannot be avoided should simpli-fy their Interface to require minimal attention, because the latter is focused on assessing the surrounding. 5. CONCLUSION: PROPOSED DESIGN GUIDE-LINES FOR PUBLIC INTERFACES 5.1 Social and Spatial Guidelines Optimal Interface use was observed in settings where distance to passers-by could be guaranteed. However, empty rooms did not per-form better, possibly due to lacking peer feedback (active or passive), corroborating the fact that “people are constantly reflecting their actions onto how others relate to it” [1]. Contact with onlookers can-not (and should not) be avoided, instead it should be controlled so as to give the user a constant visual room overview to anticipate stream of surrounding people. While large rooms engender better results, this positive effect is annihilated when the interface is a wall-mounted back-to-the-room solution. External stressors such as noise should be reduced. Women appear to be more sensitive to disturb-ances linked to space and surrounding people than men. 5.2 Integrated Context Design Summing up, this study proves that it is ill-advised to separate social and spatial elements of interface setting, because context is derived from the interrelation of both. Interface contexts should be thus con-ceived as to instil quietness, control, privacy and predictability of the surrounding. 6. OUTLOOK This research paper shows test findings of a field study in Munich and correlates these with previous literature research. Our results corroborate the unanticipated hypothesis observed by a research team using 2 spatial set-ups for their mapping-interface experiment (atrium and test-lab): the correlation between correct and fast solving of an interface assignment and the context [20]. It would be interesting to further this research project onto outdoor public setting and expand the number of context-types. 7. ACKNOWLEDGEMENTS Special thanks to Fabian GHOSHAL and Andreas SCHUSTER for their help in preparing and conducting the field test and Dipl. Des. Sandra HIRSCH for her guidance and feedback throughout the re-search process. Fig 14. Field test impressions 7. REFERENCES [1] Esko Kurvinen, Ilpo Koskinen, Katja Battarbee. Prototyping social interaction. MIT Design Issues, 24:46–57, 2008. [2] Paul A. Bell, Thomas C. Greene, Jeffrey Fischer, Andrew Baum. Environmental Psychology. Routledge, 2005. [3] Carl DiSalvo. Design and the constructions of publics. MIT Design Issues, 25:p.48–63, 2009. Nutzungs-befördernde Faktoren Diese Angaben kann man korrelieren mit der Nennungs-Häufigkeit von acht Nutzungs-befördern-den Faktoren (Ruhe, Geschwindigkeit, Verständlichkeit, Sichtschutz, Hilfspersonal, Raumübersicht, Abstand zu Umstehenden und Hilfspersonal). Dabei fällt auf, dass Interface-Elemente (Geschwindigkeit, Verständlichkeit) insgesamt als ähnlich ‚wichtig‘ erfahren werden wie Umgebungs-Faktoren (Ruhe, Sichtschutz, Raumübersicht, Abstand, Sicherheit), von letzteren wird jedoch durchschnittlich Abstand als wichtigster eingestuft. Inter-essanterweise wird Sichtschutz am häufigsten genannt von Probanden die in komplett sichtge-schützter Umgebung getestet wurden. In hektischen Räumen (B und C) zählt Geschwindigkeit am meisten. Als Interpretation der drei vorherigen Punkte kann man ziehen, dass Raumfaktoren insgesamt nicht bewusst als wichtigster Störfaktor oder relevantester Erfolgsfaktor erfahren werden. Den-noch werden jene Raumsituationen als positiv erfahren, die eine übersichtliche Raum-Erfahrung bieten. Nennungshäufigkeit einzelner Interface-Benut-zung [4] Erving Goffman. Behavior in Public Places: Notes on the Social Organization of Gatherings. Simon and Schuster, 1966. [5] Erving Goffman. Contemporary Sociological Theory - The Presentation of Self in Everyday Life. Wiley-Blackwell, 2007 (1959). [6] Eric Paulos, Elizabeth Goodman. The familiar stranger: Anxiety, comfort and play in public places. Technical report, Intel Research. Berkeley, CA, p.223-230, 2004. [7] Yvonne Rogers, Harry Brignull. Human-Computer Interaction: Enticing People to Interact with Large Public Displays in Public Spaces. IOS Press, International conference on human-computer interaction, 1st-5th sep-tember 2003, Zürich, Switzerland edition, 2003. [8] Pamela Jennings. Tangible social interfaces: Critical theory, boundary objects and interdisciplinary design methods. Carnegie Mellon University School of Computer Science Human Computer Interaction Insti-tute, p.176-186, April 12-15 2005. [9] Sakari Tamminen, Antti Oulasvirta, Kalle Toiskallio, Anu Kankainen. Understanding mobile contexts. Helsinki University of Technolo-gy, p.135-143, 2004. [10] Jeni Paay, Jesper Kjeldskov. Understanding situated social interac-tions: A case study of public places in the city. Computer Supported Coopera-tive Work: Settings for Collaboration, the Role of Place, 17:275–290, 2007. [11] Eamonn O‟Neill, Dawn Woodgate, Vassilis Kostakos. Easing the wait in the emergency room: Building a theory of public information systems. Proceedings of the conference on designing interactive systems: Processes, practices, methods and techniques, University of Bath, Dep. of Computer Science, 2004. [12] Ingunn Bratteberg, Steinar Kristoffersen. Irreversibility and force-back in public interfaces. Proceedings, NordiCHI [Nordic Forum for Human- Computer Interaction], p.63-72, October 20-22 2008. [13] Anthony Tang, Mattias Finke, Michael Blackstock, Rock Leung, Meghan Deutscher, Rodger Lea. Designing for bystanders: Reflections on building a public digital forum. University of British Columbia, Vancouver, p.879-882, 2008. [14] Eva Eriksson, Thomas Riisgaard Hansen, Andreas Lykke-Olesen. Reclaiming public space - designing for public interaction with private devic-es. Technical report, Chalmers University of Technology, University of Aar-hus, Aarhus School of Architecture, p.31-38, 2007. [15] Malcolm McCullough. Digital Ground - Architecture, Pervasive Computing and Environmental Knowing. MIT Press, 2005. [16] Joerg Mueller, Florian Alt, Albrecht Schmidt, Daniel Michelis. Requirements and design space for interactive public displays. Technische Universität Berlin, University of Duisburg-Essen, Anhalt University of Ap-plied Sciences, 2010. [17] W. Gerrod Parrott, John Sabini, Maury Silver. The roles of self-esteem and social interaction in embarrassment. Society for Personality and Social Psychology Georgetown University of Pennsylvania, p.190-202, 1988. [18] Christine Halverson, Wendy A. Kellogg, Mark Laff, Tracee Wolf, Thomas Erickson. Social translucence - designing social infrastructures. Communications of the ACM [Association for Computing Machinery], 45:p.40–44, 2002. 4 / 5 their Interface to require minimal attention, because the latter is focused on assessing the surrounding. 5. CONCLUSION: PROPOSED DESIGN GUIDE-LINES FOR PUBLIC INTERFACES 5.1 Social and Spatial Guidelines Optimal Interface use was observed in settings where distance to passers-by could be guaranteed. However, empty rooms did not per-form better, possibly due to lacking peer feedback (active or passive), corroborating the fact that “people are constantly reflecting their actions onto how others relate to it” [1]. Contact with onlookers can-not (and should not) be avoided, instead it should be controlled so as to give the user a constant visual room overview to anticipate stream of surrounding people. While large rooms engender better results, this positive effect is annihilated when the interface is a wall-mounted back-to-the-room solution. External stressors such as noise Fig 14. Field test impressions 7. REFERENCES [1] Esko Kurvinen, Ilpo Koskinen, Katja Battarbee. Prototyping social interaction. MIT Design Issues, 24:46–57, 2008. [2] Paul A. Bell, Thomas C. Greene, Jeffrey Fischer, Andrew Baum. Environmental Psychology. Routledge, 2005. [3] Carl DiSalvo. Design and the constructions of publics. MIT Design Issues, 25:p.48–63, 2009. COPENHAGUEDENMARK
- 10. BOSTONUSA USER RESEARCH ABOUT THE EFFECTIVITY OF DESIGN THINKING WORKSHOPS IN SEMI-OPEN ECOSYSTEMS PAPER PUBLICATION AND CONFERENCE PRESENTATION To critically evaluate the impact of our Design Thinking workshops in non-design contexts, the brisk team did a follow-up survey of previous workshop participants and non-participants. By mapping the understanding and opinion about Design Thinking before and after the workshop and measuring the knowledge about this topic in the surrounding ecosystem, we proposed a 3-staged model of Design Thinking incubation and repositioned the role of the Design community in enabling innovation. This research was selected to be presented at the Design Management Institute’s global conference on Leading Innovation through Design, August 2012, Boston MA. Participants: Management Team, CDTM 15 former workshop participants 33 respondents with no prior Design Thinking knowledge Output: Conference Publication Roadmap: Design Thinking Workshops solving Urban Challenges individual evaluation sheets and eSurvey Follow-Up analysis Conference Presentation Design Management Institute
- 11. BOSTONUSA Author Name(s) (2013). Paper Title. XX – XX THE MINDSET BEYOND THE MYTH – EVALUATING THE FUTURE PRACTICE, APPLICABILITY AND TEACHABILITY OF DESIGN THINKING THROUGH WORKSHOP CHALLENGES Diana SCHNEIDERa, Kilian MOSERb aCenter for Digital Technology and Management (Student Researcher) bCenter for Digital Technology and Management (PhD Candidate) This paper aims to unravel the Design Thinking myth by analysing how a hands-on workshop format with urban challenges impacts the participants - design novices with no previous experience applying Design Thinking. Although the hype purposefully built around Design Thinking (Walters, 2011) has been beneficial in bringing about the shift from design as a tactical towards a strategic catalyst of innovation (Wasserman, 2011), Design Thinking needs repositioning (Merholz, 2009), battling the illusion of a simple creative toolbox (Nussbaum, 2011). Through the analysis of a 2-week Design Thinking workshop with 15 cross-disciplinary participants, the authors reveal the three-layered impact of an action-based teaching format to generate understanding (1), ownership (2) and incubation (3) of the Design Thinking ethos. In conclusion, this paper postulates a concrete role, practice, applicability and teachability of the next generation of Design Thinking, based on action, indirect knowledge diffusion and context-dependency. Keywords: Design Thinking, Workshop, Knowledge diffusion INTRODUCTION In recent years the buzz of Design Thinking, advocated by the Stanford d.school, IDEO’s Tim Brown, Bruce Nussbaum and a range of innovation forerunners has reached the business world and far beyond. Design Thinking was branded a method challenging conventional problem solving processes by leveraging the designer’s approach to combine people's needs, technological feasibility, strategic business viability and market opportunity to the full spectrum of innovation activities (Brown, 2008), be it product, process, service, brand (Roscam-Abbing, 2011). Yet the notion of Design Thinking, however pivotal towards holistic innovation it may be, is also a field of controversies, conflicting definitions and misconceived notions of creative tools for superficial cure-all solutions to deeply rooted structural challenges. As an interdisciplinary team evaluating the future implementation of the design approach in a strategic innovation context, it is our goal to counteract the buzzword-laden, purposefully vague myths shrouding Design Thinking’s concrete potential and postulate its clear, concrete and implementable positioning. Copyright © in each paper on this conference proceedings is the property of the author(s). Permission is granted to reproduce copies of these works for purposes relevant to the above conference, provided that the author(s), source and copyright notice are included on each copy. For other uses, including extended quotation, please contact the author(s).
- 12. Author’s name(s) VANTAGE POINT - EVALUATING DESIGN THINKING FROM THE DESIGN NOVICE’S PERSPECTIVE The definition, scope and alleged effect of Design Thinking in a variety of fields is a vastly discussed leitmotif in the design world, specific literature, media and business courses, to name the tip of the iceberg. What the current scientific and mediatized examination of Design Thinking seems to underestimate, however, is how non-designers perceive, assimilate and apply Design Thinking. This paper aims to examine Design Thinking not from the design thinkers’ stance, but from the design novices‘ point of view. Thus, by researching how Design Thinking is currently understood (I) and adopted by design novices through a workshop format (II), we aim to reposition the future of teaching Design Thinking (III). RESEARCH SCOPE – DESIGN THINKING WORKSHOP AND FOLLOW-UP ANALYSIS This paper evaluates the findings of a Design Thinking workshop researched, planned and co-hosted by a design entrepreneur, an industrial designer and a business administration PhD-student in Munich, Germany, in early spring 2012 at the Center for Digital Technology and Management (CDTM), Munich. 2 Figure 1 - Impressions of Design Thinking workshop at CDTM, Munich. Image credit: Moser, 2012. The empirical data substantiating the evaluated hypotheses consists of the workshop outcome, a paper-based internal feedback interview of all workshop participants and an online survey of 33 additional members of the CDTM-community who had not participated in the workshop, to gauge the effect of the Design Thinking workshop on non-participants in a semi-closed environment. WORKSHOP FRAMEWORK - PARTICIPANT COMPOSITION AND CONTENT STRUCTURE Given the interdisciplinary teaching approach of the CDTM, a set of different academic disciplines and professional backgrounds attended the Design Thinking workshop outlined in this paper. Limited to a group size of 15, the Design Thinking workshop grouped participants between the ages of 22 and 27 years, composed of four female students, eleven male students and a variety of study backgrounds illustrated in Table 1. BOSTONUSA Article’s Title 3 This interdisciplinary composition of the workshop group is a key factor in mutual learning and understanding of the different disciplines with Design Thinking acting as an enabler (Best, 2012) and catalyst in this process. Study background # of participants Business Administration 4 Communications Engineering 1 Computer Science 5 Electrical Engineering 1 Mathematics 1 Mechanical Engineering 1 Media Informatics 1 Political Science 1 Table 1 - Interdisciplinary study background of the workshop participants Given that all participants are part of the Technology Management study program at the CDTM, a joint project experience pre-existed in a majority of the cases. I. CURRENT POSITIONING OF DESIGN THINKING LEAVES ROOM FOR IMPROVEMENT By analysing the perception, understanding and experience prior to the workshop, this paper aims at clarifying how Design Thinking is currently interpreted by non-designers from a variety of study backgrounds. We structured this section as follows: First we will introduce the composition of the workshop group (15 participants) and the control group (33 additional survey respondents) with regards to their previous awareness of Design Thinking. We will then evaluate the results of the interviews and quantitative survey of respectively workshop participants and non-participants before elaborating on the findings. WORKSHOP ECOSYSTEM - PARTICIPANTS AND NON-PARTICIPANTS The Design Thinking Workshop presented in this paper has first been tested at the CDTM, a joint institute of the Technische Universität München (TUM) and the Ludwig-Maximilians- Universität (LMU). For the further analysis within this paper, the CDTM will be considered a semi-closed ecosystem, based on its physical (a) and informational (b) close-knit structure. The former is caused by the fact that the CDTM occupies a separate floor in a separate building where all CDTM learning activities occur independently of the other educational centres in Munich, the latter determined by the intense flow of information among its members through word-of-mouth, newsletters, lectures, evening events and group projects. This setting allows a controlled analysis of the impact of the Design Thinking Workshop on the immediately surrounding ecosphere. SURVEY RESULTS – INITIALLY EXISTING YET UNCLEAR AWARENESS ABOUT DESIGN THINKING The awareness about Design Thinking can be analysed on two levels: understanding, evaluated through the respondents’ definition of the mindset (a) and opinion, evaluated through the role respondents accord to Design Thinking (b). Considering an active student body of around 70 students spread over four classes, the 15 students who participated in the Design Thinking workshop and the 33 non-participant interviewees represent roughly 69% of the entire active student body at the CDTM.
- 13. Author’s name(s) The initial awareness of Design Thinking in the analysed ecosystem prior to the workshop experience is gauged through the responses of the control group (33 non-participants) and the answers to all questions relating to “before the workshop” (15 workshop-participants). VAGUE UNDERSTANDING OF DESIGN THINKING PRIOR TO WORKSHOP PARTICIPATION Workshop participants can be split into two groups: participants with prior knowledge on Design Thinking and participants with no or almost no knowledge on Design Thinking. Interestingly, a little less than half of the workshop participants (45%) had prior contact with “Design Thinking”. Participants had acquired this prior knowledge from a variety of sources, ranging from information from general media (2), specific literature (2) and business cases (1) to friends (2) and courses at university (3). However all of those 45% had never actively applied Design Thinking methods in a project. Although they had been in touch with the topic prior to the workshop, definitions of Design Thinking exhibited extreme differences in the understanding of the actual nature of Design Thinking, illustrated in table 2: 4 Participant Definition #1 ―A process for finding solutions of complex problems with the help of a multidisciplinary team.‖ #2 ―Brainstorming in a team, writing on a scratchpad and discussing.‖ #3 ―A discipline which aims to solve peoples need, using creative techniques.‖ #4 ―define, research, ideate, prototype, choose, implement, learn‖ #5 ―A comprehensive and multidisciplinary methodology to create applicable and innovative products and services for businesses‖ Table 2 - Definitions of Design Thinking prior to the workshop participation – excerpt of statements Table 2 illustrates a set of definitions given by workshop participants prior to the workshop, ranging from “brainstorming in a team” (#2, fuzzy and only partially correct understanding) to the correct naming of the d.school, Stanford Hasso Plattner Institute of Design, seven-step process (#4, concise recapitulation of the specific process). This corroborates the unclear current positioning of Design Thinking from the recipients’ - design novices - point of view. AMBIGUOUS ROLE ATTRIBUTED TO DESIGN THINKING PRIOR TO WORKSHOP PARTICIPATION Another interview question inquired after the perceived role of Design Thinking, given by workshop participants with previous exposure to the mindset. The results shown in table 3 indicate that the perceived roles largely differed. Participant Perceived role of Design Thinking #1 ―I thought it was mainly used in design consultancies.‖ #2 ―Enriching product/project with creativity - Early prototyping #3 ―Design Thinking is suitable to find innovative solutions for wicked problems while an engineering design approach might rather produce predictable outcome.‖ #4 ―another ideation and evaluation tool‖ #5 ―It provides a toolbox with different mind-settings as well as methodologies to actually identify people's need and problems and to build upon these things innovative applications, products and services‖ Table 3 - Perceived role of Design Thinking (prior to workshop participation) – excerpt of statements On one end of the spectrum, it’s role is seen as a ”another ideation and evaluation tool” (#4) or “mainly used in design consultancies” (#1), confirming the strong marketing of design agencies such as IDEO to appropriate a mindset that has been existing decennia before (Wasserman, 2011) Tim Brown started his Design Thinking branding campaign in the 2000’s (Brown, 2008). On the other end of the spectrum, several respondents proved to have a BOSTONUSA Article’s Title nuanced understanding of the nature and positioning of the Design Thinking ethos (#3, #5). These qualitative results indicate not only the importance of a common understanding on the role and benefits of Design Thinking, but also the need to communicate these clearly, since previous exposure to the teachings or practice of Design Thinking didn’t prevent misunderstandings on the nature and scope of the topic. 5 OPPORTUNITY – CLARIFYING AND CONCRETIZING DESIGN THINKING Firstly, the analysed data corroborates our initial hypothesis that there is awareness about Design Thinking in the non-design world with roughly half of respondents having been exposed to Design Thinking in the past. Yet the understanding of the current generation of Design Thinking remains disparate and imprecise. This leaves room for a clear-cut, well-defined positioning of the next generation of Design Thinking, communicating its concrete benefits as opposed to vague allusions and simplifications of a faceted way-of-thinking into a handy set of tools. The demonstrated need for an unequivocal positioning of the next generation of Design Thinking coincides with the emergence of limits to the first generation. After reaching boardrooms, business schools and cross-disciplinary debate alike, the initial wave of Design Thinking starts showing cracks, not least when Design Thinking godfather Bruce Nussbaum questions its future (Nussbaum, 2011). Hence, it appears vital to envision and concretize the next phase and examine the ways in which the design approach can successfully and convincingly catalyse and inform innovation currently and in the future. This upcoming generation of Design Thinking needs to be accompanied with a clear, concrete and understandable positioning to avoid the myths and misconceived notions the current understanding is limited by. II. WORKSHOP ENABLES DESIGN THINKING ADOPTION ON THREE LEVELS The Design Thinking workshop at the basis for this scientific paper covered theoretical and practical sessions, cases, group discussions, compact design exercises and a two-week Design Thinking challenge to be solved in teams. In order to judge the effect of our chosen workshop framework to communicate the Design Thinking ethos, we will first outline the outcome of the workshop, before introducing a three-staged information incubation model to analyze the workshop impact at an institutional level. WORKSHOP OUTCOME – HANDS-ON SOLUTIONS TO URBAN CHALLENGES The participants were given a task and a physical location in Munich to initiate their exploration phase in which they applied the methodology, tools and skills acquired in introductory theoretical, practical and group feedback workshop sessions. Then, the interdisciplinary teams, coached in intermediary feedback rounds by the lecturers, experienced the real-world run-through of Design Thinking through the empathic exploration (1), problem framing (2) and concept ideation and testing (3) phases of the Design Thinking process developed by the authors. Finally, the presented results were presented and evaluated. The following table 4 shows the team tasks and self-description of the developed solution:
- 14. Author’s name(s) Two-Week Design Thinking Challenge 6 Developed Solution as described by the Teams Image Team PLAYGROUND: How might we make the handing over of little children in the pre-work morning rush at the kindergarten more pleasant for everybody involved? ―What do 3-year old kids do to make new friends on the playground? Up until the end of April 2012, there was no solution enabling kids to actively seek and keep contact with other kids they just met on the playground. In order to make exchange of contact data possible and attractive to both parents and kids, the team took the concept of a business card, tailored it to the involved parties and thus the "Friendship Card" was born. The cards can be found at the life-sized card holders, situated at playgrounds. On the front side of the 20x30cm card parents can write their contact data and indicate on which weekdays their kid has time to go to the playground. The backside is dedicated to the kid's drawing, making the whole exchange of contact data more individual, emotionally appealing, and way more fun!‖ (text credits: Petkov Petromil, Pickert Simon, Ziehn Niels) Figure 2 - Team Playground with their Friendship Cards, Image source: Moser, 2012 Team CONSTRUCTION SITE: How might we make the lunch break of construction workers on urban outdoor construction sites a healthy, social, safe, invigorating lunch experience? ―Did you ever think of improving the lunch break of a construction worker? That was our task in the ‗Design Thinking‘ workshop. Armed with Design Thinking methods, a camera and a questionnaire we took a tour to the construction landscape of Munich. Back at CDTM and several brainstorming and framing sessions later, we came up with the idea to meet the need of relaxation highly ranked in our list consisting of warm food, relaxation, and socializing. We came up with the idea to bring relaxing and work clothes together, to transform a normal construction site helmet into the relaxation island for workers. Therefore we added features such as earmuffs which provides music, special goggles and a head massage device.‖ (text credits: Neuerburg Leopold, Schewtschenko Sabrina, Seebauer Daniel) Figure 3 - Sketch of the construction helmet Image source: Neuerburg, Schewtschenko, Seebauer, 2012 Team PARKING GARAGE: How might we improve the late night parking house experience? ―Walking and driving through four parking lots in Munich late at night, we tried to soak in the experience. After three nights of exploration the picture became clearer: Parking lots are made for cars, not for people! During night, as less people come by, the atmosphere gets creepier—especially for women. In order to make underground parking lots safer at night, we developed the reactive parking lot concept: The ceiling is tiled-up with interactive squares that light up whenever there is someone beneath them. This allows every person to intuitively feel and see the presence and direction of movement of other people on the floor, even those hidden behind a car. The pillars are built out of semi-transparent concrete in order to overcome their view-limiting nature. A stop-motion prototype can be accessed at: http://vimeo.com/41276951― (text credits: Schneider Hanna, Schubert Ludwig, Taifour Sinan) Figure 4 - Stop-motion of the design solution Image source: Schneider, Schubert, Taifour, 2012 Team LIBRARY: How might we make the short breaks of students studying in the library more social, enjoyable,recreative? ―State library, Munich, 4pm - a lot of people need a short 10-20min break. Yet what do they need and how to solve it? Interviews were amongst a couple of different observation and immersion methods (collecting trash, shadowing people, letting people draw) within the empathic exploration phase for our Design Thinking challenge. In most observations and interviews one problem dimension seemed to pop up: Space. The State library seems to lack space for enjoyable breaks, for consuming food, for relaxing in a quiet atmosphere or to exchange with your friends. Our solution is about making the best use of existing spaces. Flexibly and removable. Putting pillows on the stairs and window sills - with curtains offering little private rooms. Inventing a modular seating system that features: A high back of chairs, noise cancelling and through bending adjustable. Due to its half-round shape chairs are placeable in (half-)circles, creating private spaces for groups, not disturbing others. (text credits: Bösch Lisa, Gautam Saksham, Hörner Michael ) Figure 5 - Photo- Mockup of State Library group spaces Image source: Bösch, Gautam, Hörner, 2012 Team PUBLIC SERVICE DESK : How might we make the waiting experience of customers at public service desks more convenient and entertaining? ―We went to the KVR (German public service desk) looking for ways to improve people‘s waiting time. We observed people‘s actions while waiting and even went to whole process of issuing a new ID. We realized that once you arrive there, you just feel as the number you got waiting to be called. Our idea consisted of setting counters in the entry that measures the time you have to wait depending on the document to issue. Then, you choose between the community line and the fast line. People who select the community line have free access to the KVR waiting facilities though wait longer than people on the fast line. After selecting the desired line, you are welcomed to a waiting space that suits to different target groups. In this waiting space, you find first a relaxing coffee shop where citizens can interact. Close to it, there is a playground for the children that accompany parents or grandparents. Finally, there is working area for people who need access to Internet and technological devices in order to spend their time productively.‖ (text credits: Cortez Valeria, Fink Martin, Verse Björn) Figure 6 – Groundplan of the dual-lined service solution Image source: Moser, 2012 Table 4 - Recapitulation of Design Thinking workshop outcome Article’s Title 7 All teams demonstrated nuanced understanding of the Design Thinking mindset, methods and tools, identified valid and diverse insights, formulated relevant framed design tasks and solved them with a design-minded approach, as indicated in table 5. Team Name Team Composition Lecturers’ Evaluation on Design-mindedness of outcome Team 2 male Computer Science majors PLAYGROUND 1 male Management & Technology major + leaving male comfort zone to visit playground locations and talk to mothers of small children + gathered valid, diverse feedback from real users in their real context and formulated relevant insights + different stages of low-, mid- , high-resolution paper mock-ups Team CONSTRUCTION SITE 1 female Computer Science major, 1 male Electrical Engineering major, 1 male Business Administration major + leaving comfort zone to explore construction sites + use of diverse, relevant tools without doing tools just for the sake of it: sensitive understanding of what they can be used for + switch from the physical room (container) to the personal space (zone surrounding a person) + good “low-tech” prototyping with solid background research + returned to the construction sites to gather feedback Team PARKING GARAGE 1 female Media Informatics major, 1 male Computer Science major, 1 male Communications Engineering major + good idea as response to the problem of the “female fear of being raped”, but not limited to it : fresh, surprising and very sensitive solution of a highly stigmatized and misunderstood problem + sensitive and multi-sensorial way to experience the entire situation / setting with focus on context, rather than product + the courage to completely overthrow an almost finished concept Team LIBRARY 1 female Management & Technology major, 1 male Mechanical Engineering major, 1 male Computer Science major + intense exploration phase to understand the user perspective + diverse ideas were teste on location + use of 2D and 3D prototypes of different resolutionsl + development of a solution that’s integrated into the context Team PUBLIC SERVICE DESK 1 female Business Informatics major, 1 male Management & Technology major, 1 male Political Science major + Exploration using variety of tools to map all stakeholders + Identification of different user needs demonstrated through role plays + relevant, innovative solution that has realistic potential Table 5 - Team composition and Evaluation of Generated Outcome – Excerpt of Lecturer Feedback This adoption of the Design Thinking ethos was all the more note-worthy when considering that more than half of participants hadn’t been exposed to Design Thinking before and that the given challenges required them to leave their natural comfort zone and venture into the urban context which defined the setting of their two-week task. INCUBATION MODEL – EVALUATING THE LEARNING IMPACT OF THE WORKSHOP To evaluate how the Design Thinking workshop could lead design novices -participants and non-participants alike- to real insights into the design ethos, we propose a three-layered knowledge incubation model, depicting the information flow (figure 7) Figure 7 - Proposed three-layered knowledge incubation model indicating groups and levels of impact BOSTONUSA
- 15. Author’s name(s) The main components of the proposed model are the involved impact groups and layers of knowledge diffusion. IMPACT GROUPS AND DIFFUSION LAYERS In the researched setting, students at the CDTM can be clustered into impact groups: Every impact group is expected to enact a different set of actions. Hence, for every impact group we measure the actions sorted by the level of involvement with the Design Thinking Methodology. In essence, we consider the active application of Design Thinking Methods a stronger indicator of success than a mere chat about DTM with peer students. Workshop Lecturers (L) initiated the direct information flow to the participants of the workshop, introducing them the methods, mindset and example cases of Design Thinking that would help them understand, apply and share the ethos behind the myth. Workshop participants (P) were directly exposed to the Design Thinking workshop. Hence they are expected to become thought leaders and drivers of information flow. Every term students are enrolled in a number of different projects that potentially would be suitable for certain Design Thinking methods. Hence it is of key interest to find out to what extent workshop participants (P) contributed to the information flow within the CDTM ecosphere. Non-participants (NP) are active students that did not take part in the Design Thinking Workshop. Nevertheless, they are of equal interest to measure the success and impact of the Design Thinking workshop in a business context since their actions (if triggered by information or action of Ps) is an indicator for indirect success of the workshop. NPs with direct contact to P are expected to have more direct exposure, hence should exhibit more involvement with the Design Thinking Methodology compared to other NPs. The four layers of information diffusion identified throughout the analysis of the Design Thinking workshop are understanding (1), ownership (2) and incubation (3): 8 The primary aim of this workshop was to broaden the skill-set of all participants to explore human-centered design and action-based innovation methods and apply them to tangible and intangible challenges. This is called the “understanding” layer. The second goal was to evaluate how, to which degree and in which circumstances the mindset behind the hype would be valued by the participants and used in their personal work, beyond the two-week workshop. This is termed the “ownership” layer. The third objective of the workshop was to gauge the effect of information sharing and the potential for communication of workshop experiences and insights by individual participants to their non-participant surrounding. This layer is named “diffusion”. WORKSHOP IMPACT AT LEVEL 1 - UNDERSTANDING In order to gauge the impact of the workshop outlined in this paper on participants’ understanding (first layer), interviewees were asked to evaluate the improvement of their understanding of Design Thinking before and after the workshop. Article’s Title Has 1 2 3 4 5 Participants with prior knowledge min avg max 1 2 3 4 5 Participants without prior knowledge min avg max Figure 8 - Quantitative interview results on the change of the understanding of Design Thinking in terms of method, mindset and tools. Quantitative scaling ranging from 1: absolutely no improvement to 5: significant improvement. The plot illustrates minimum, maximum and average values. Source: own illustration 1 2 3 4 5 9 The positive impact illustrated in Figure 3 can be further backed up by asking workshop participants to define Design Thinking once more after they had attended the workshop: Participant Definition #1 ―The process of reaching creative solutions for almost any type of problem, even the everyday ones.‖ #2 ―Understanding the problem by using empathy, exploring the environment to get leads to solution ideas, prototyping and lots of discussion.‖ #6 ―Set of tools applicable in a certain process helping you to find and solve problems of human beings pragmatically yet beautifully.‖ #7 ―Catering to customers‘ needs.‖ Table 6 - Definitions of Design Thinking after workshop participation – excerpt of statements Table 5 depicts four definitions. Participant #1 and #2 had prior knowledge about Design Thinking. Participants #6 and #7 had not heard about Design Thinking before attending the workshop. All definitions show a nuanced understanding of the Design Thinking ethos. WORKSHOP IMPACT AT LEVEL 2 - OWNERSHIP To evaluate whether the workshop had an effect at the ownership-level, i.e the ways in which the mindset is valued and used in the participants’ personal work, the respondents were asked whether their opinion about the content, purpose and benefit of Design Thinking had changed for the better before/ after the workshop. The impact thus demonstrated is shown in figure 4: Figure 9 - Quantitative interview results on the change of opinion of Design Thinking in terms of content, purpose and benefit. Quantitative scaling ranging from 1: absolutely no improvement/ change to 5: significant improvement/ change. The plot illustrates minimum, maximum and average values. Source: own illustration 1 1 Participants with prior knowledge Participants without prior knowledge Has your understanding of Design Thinking (method, mindset, tools) improved through your workshop experience? min avg max 1 2 3 4 5 min avg max Participants with prior knowledge Participants without prior knowledge 1 2 3 4 5 min avg max 1 2 3 4 5 min avg max Participants with prior knowledge Participants without prior knowledge Has your understanding of Design Thinking (method, mindset, tools) improved through your workshop experience? Has your opinion of Design Thinking (content, purpose, benefit), changed through the workshop)? BOSTONUSA
- 16. Author’s name(s) Most importantly, after attending the workshop about 80% of participants had applied Design Thinking methods in their own projects. These projects ranged from ideation (4) and software development and prototyping (8) to application in business consulting (3). All workshop participants planned to apply Design Thinking methods in their future projects. Asking for the role of Design Thinking in their future projects reveals the potential benefit participants see in applying Design Thinking. A majority of workshop participants sees the benefit of Design Thinking in supporting an ideation and problem solving process (6). In opinion of the participants, Design Thinking facilitates communication (3) and supports teams with a structured process, i.e. Design Thinking helps to drive teamwork in a more process-oriented way (3). Designers usually apply Design Thinking to identify user needs and communicate early results in form of iterative prototypes. This aspect of Design Thinking however resonates only with a minority of the workshop participants (3). When asked about settings where it makes sense to include a designer in a team, participants answered as follows: First and foremost, the inclusion of a design requires acceptance by the team itself. Hence a mutual understanding of the benefits and roles of a designer is essential. Designers fit to a lot of projects, but workshop participants see the highest potential in projects with unclear structures that require a structured process to tackle complex tasks (6) as well as in any projects that deal with tangible, physical products (6) and were the interaction with end consumers/ users is heavily required. In the latter case designers are seen as an important mean to facilitate the interaction with users (3). WORKSHOP IMPACT AT LEVEL 3 - DIFFUSION The third layer denotes the diffusion of the Design Thinking ethos within the analysed semi-closed 10 ecosphere of the CDTM. As indicated in the introduction, to analyse how teaching Design Thinking to a limited group of participants affects the surrounding ecosphere on an institutional level, we conducted 33 interviews with non-participants, who are likely to work with workshop participants in other group projects. We interviewed a student body in the age between 20 and 31 years. Most of them were regular students (23), PhD-students (4) or student entrepreneurs (6). The interview group consisted of the following study backgrounds: business studies (14), computer science (11), Engineering (6) or other study programs (2). To evaluate the impact of the Design Thinking workshop format in a non-design context on an institutional level, we inquired after the conversations participants held with non-participants. Almost all participants (90%) actively talked to non-participants about the workshop, thereby spreading their perception, understanding and opinion. About 35% of the participants even shared some of the workshop material with non-participants. When asked about prior contact with Design Thinking, 90% confirmed that they had at least heard about it beforehand. Table 6 depicts the sources of information on Design Thinking: Percentage Source of information 60% Participants of the Design Thinking workshop 24% General media 24% University lecture 18% Friends, family, other acquaintances 15% Specific literature 9% Previous Design Thinking workshop (not at CDTM) 3% Business case 0% Major topic in main studies Table 7 - Exposure of non-participants with the topic of Design Thinking Article’s Title Table 7 illustrates the impact of the Design Thinking workshop in terms of word of mouth on the whole institutional level. This dataset provides evidence that teaching Design Thinking to a limited subgroup of a slightly larger student body tremendously helps to spread the knowledge of Design Thinking. During the interviews we identified a clear need for an increase in teaching Design Thinking to non-designers. Figure 5 shows a clear gap between the overall interest of non-participants how extensive is your knowledge on design thinking? 11 and their personal judgement on their knowledge about Design Thinking. We think that the overall interest in the topic is partially explainable by the high percentage of word-of-mouth “advertisement” by workshop participants. We see concrete evidence on the hypothesis that teaching Design Thinking to a smaller subset of a larger, yet (on an institutional level) closed student body can infect an entire institution and significantly improve the perception and importance of Design Thinking. On your personal judgment, 1 2 3 4 5 How do you rate your overall, personal interest in the design thinking approach? 1 2 3 4 5 Non-participants min avg med max Non-participants min med avg max Figure 10 - Quantitative interview results on the overall, personal interest in Design Thinking as well as a personal assessment of the personal knowledge on Design Thinking. Quantitative scaling ranging from 1: absolutely no interest/ knowledge to 5: significant interest/ knowledge. The plot illustrates minimum, maximum, average and median values. Source: own illustration Although non-participants’ lack of knowledge about Design Thinking needs to be countered by an increase in direct teaching activity, our interviews indicate that an indirect flow of information through the intermediary of workshop participants (i.e. exchange of material or word-of-mouth) can significantly improve the general grasp on Design Thinking within a given ecosystem. Table 8 illustrates the definitions of non-participants in relation to their source of information: Interviewee Perceived role of Design Thinking Source of information #1 ―I It is about thinking out of the box, how to improve scenes in everyday life […]‖ workshop participant #2 ―Getting/Conceptualizing new ideas by visualisation techniques and by creating models.‖ workshop participant, general media #3 ―A method to come up with innovative ideas and solutions systematically.‖ workshop participant, lecture #4 ―Approaching problems/challenges of all sorts with the mind-set that their solution needs to be developed from the perspective of comprehensive design, i.e. the person, the context, the materials, etc.‖ workshop participant, business case #5 ―A set of creativity methods that are used in a workshop format in order to develop products or services that are radically new.‖ workshop participant, general media, friends #6 ―A mind-set to focus on use cases - people, problems, context - when creating a solution (product/service/measure).‖ workshop participant, specific literature #7 ―Creative, systematic and interdisciplinary approach to innovative solutions.‖ general media #8 ―It's a methodology and process, which is used to understand and solve a defined problem.‖ workshop participant, specific literature #9 ―A design approach that does not focus purely on aesthetics of a product. It rather applies workflows known from design schools to a much larger class of problems. e.g business processes.‖ workshop participant #10 ―Design Thinking is a methodology to support the development of user-orientated solutions for any kind of problem/challenge.‖ general media, specific literature, lecture, previous workshop Table 8 - Definitions of Design Thinking provided by non-participants – excerpt of interview results BOSTONUSA
- 17. Author’s name(s) Table 8 further shows that non-participants see the potential to use Design Thinking as means to solve general problems that are not directly related to products or services. Interviewees also understood that Design Thinking rather symbolizes a mind-set. Still a set of definitions assumes that Design Thinking is purely tool and method based. OPPORTUNITY – DIFFUSION OF DESIGN THINKING IN ACTION-BASED WORKSHOP CHALLENGES The hands-on structure and two-week urban tasks enabled workshop participants to meet, experience and manage a design-minded process in interdisciplinary teams, generating disruptive, relevant and innovative solutions. Using a combination of theory, cases and action-based tasks, the analysed workshop proved to be an effective way to generate a nuanced understanding and sense of ownership of Design Thinking for the direct participants, but also impacted the incubation of a new mindset on the immediate ecosphere of non-participants surrounding them. III. FUTURE OF DESIGN THINKING – DESIGN MEETS TECHNOLOGY MANAGEMENT The workshop, the commitment and dedication of all participating students, the impressive results developed in such a limited time frame by diverse teams of design thinking “novices” testify the effectivity of the chosen workshop format. This raises the question whether the Design world hasn’t missed an opportunity in positioning its core ethos: through participation and context-based problem exploration, framing and solving, instead of presentation and marketing efforts. CONTEXT – KEY TO UNDERSTANDING, OWNERSHIP AND DIFFUSION OF A MINDSET Design Thinking is unfortunately occasionally hyped as a magic cure-all or a process blueprint for quick, superficial pseudo-solutions of deeply-rooted, structural challenges, which it is not. Instead, it’s an attempt to refocus on the real (urban) context which provides the backdrop for many challenges to be solved by design. It is the combination of real-world exploration of meaningful, relevant human needs and settings with a risk-taking, design-minded 12 approach in leaving one’s comfort zone to experiencing and framing specific design thinking challenges that enabled interdisciplinary CDTM teams to manage a design-minded process generating disruptive, relevant and innovative solutions. It is the same concept of context that explains the indirect diffusion of the Design Thinking mindset: the ecosystem in which the workshop takes place can benefit from the gained understanding and ownership of individuals, to spread the knowledge among non-participants, a hitherto underestimated and unresearched field. Thus, when conceiving a workshop it is important to map all contextual elements enabling easy information flow. FUTURE OUTLOOK – NEXT GENERATION OF DESIGN THINKING AND RESEARCH GOALS We believe in positioning Design Thinking as a catalyst that has direct and indirect effects of knowledge diffusion within an ecosystem of individuals with diverse academic and professional backgrounds and their specific “thinking” (business thinking, computer science thinking, etc.). BOSTONUSA Article’s Title It’s time for a new era in teaching Design Thinking: instead of superimposing a new blueprint and discarding the rest, Design Thinking should be adaptively integrated and blended with all the strengths of existing “Thinking” (Business thinking, Technology thinking, etc.). Thus, rather than replacing existing thought processes Design Thinking should complete and connect them, acting as an enabler (Best, 2012) of changing perspective while managing a holistic approach. It is this promising integration of Design Thinking, Business Thinking and Technology Thinking into a new, integrative, flexible, human-centred, holistic and action-based approach, which enables entirely new insights. Thus, the Design Thinking workshop initiative, only at its starting point at in spring 2012, strives to enable the development of meaningful solutions (services, products, brands) responding to real, specific and relevant societal human needs, that hold true innovation potential. As a next step, we plan to integrate the findings of this preliminary research into the workshop structure and test the effectivity of our knowledge diffusion model on other research groups of individuals with little prior exposure to Design Thinking and their respective ecosystems. This includes –but isn’t limited to- potential research groups such as decision-makers in the business world, developer teams of cutting edge technology or entrepreneurs. 13 REFERENCES Best, K. (2012). Design as Enabler of Change. www.dmi.org, 06-2012 Brown, T. (2008). Design Thinking. Harvard Business Review, June 2008, p.1-10. Merholz, P. (2009). Why Design Thinking Won‘t Save you. Harvard Business Review, www.blogs.hbr.org, 09-09-2009 Nussbaum, B. (2009). Design Thinking Battle – Managers Embrace It, Designers Reject It. www.businessweek.com, 10-07-2011 Nussbaum, B. (2011). Design Thinking is a Failed Experiment. So What‘s Next? www.fastcodesign.com, 04-06-2011 Roscam-Abbing, E. (2010). Brand-Driven Innovation. Ava Acedemia, 978-2940411283 Walters, H. (2011). Design Thinking Isn‘t a Miracle Cure, but Here‘s How it Helps www.fastcodesign.com, 03-24-2011 Wasserman, A. (2011). Thinking About 50 Years of Design Thinking. Carnegie Mellon University, Pittsburgh – PA, http://www.design.cmu.edu/show_news.php?id=340 05-19-2012
- 18. www.DECODINGPRIVACY.COM PERCEPTIONS, CONFLICTS AND STRATEGIES OF PRIVACY IN THE MOBILE WORLD Initiated at the Technical University of Munich, the Center for Digital Technology and Management and the Ludwig Maximiliansuniversität, this research aims to understand, structure and visualise the ambiguous field of privacy in mobile technology, gather real-world cases of privacy conflicts and link them to potential solutions. The output is a user-generated, browsable database that serves as a tool for software engineers and any professional developing a product or service solution directly or indirectly related to privacy. Participants: Quantitative Survey, 197 participants Developer Interviews: 10 in Silicon Valley, 11 in Munich Coaching/ Scientific feedback by Prof. Fritz Frenkler, Prof. Bengler and Dipl. Des. Sandra Hirsch Output: Design Tool with privacy conflicts and strategies Conference Publication at the International Conference on Engineering Design (ICED’13), Seoul This research is ongoing, find out more at: www.decodingprivacy.com Roadmap: Combination of Anthropology, Psychology, Technology Management and Design Research SEOULSOUTHKOREA PAPER PUBLICATION AND CONFERENCE PRESENTATION Design Society
- 19. SEOULSOUTHKOREA INTRODUCTION - TRANSDISCIPLINARY APPROACH COMBINING THEORY AND EMPIRICISM The alleged duality between privacy versus ubiquity/ publicity is a vastly discussed leitmotif in science, literature, media and everyday life and has been thus for two millennia (Sokol, 2001). The current scientific and mediatized examination of privacy highlights the protection of private places, people and data against the threats of the public eye, underestimating the necessity of a participative, interactive, healthy public sphere: a physical or virtual cornerstone of a functioning society (Harvard Symposium, 2011). Thus our motivation to examine privacy in a public context, exemplified by the field combining both: mobile technologies. This paper aims at dissecting the interdependence between private and ubiquitous spheres in the context of mobile technologies. The latter have not only altered the understanding of privacy (Turkle, 2004), but also account for concerns with regards to user privacy (Barkhuus and Dey, 2003). By using a mixed-method approach combining social sciences, design thinking and engineering this research results in a tool that serves as a reference model for software developers and design professionals working on mobile application to help solve privacy-related issues along the development process. To this end, this paper embarks on a multilevel strategy comprised of empirical and theoretical research. The first step involves mapping the theoretical understanding of privacy. This is realized through an extensive literature review, which explores the perceptions of privacy and the public sphere. Paired with a quantitative survey it results in a multi-layered model of privacy taking into consideration varying levels of interaction. Building upon this understanding of privacy, insights from the survey are further utilized to dissect the privacy layers and explore privacy conflicts and strategies of everyday life. The survey results particularly highlight the importance of mobile technologies with regards to privacy while simultaneously accentuating a lack of adequate strategies. In light of this divergence, a qualitative study was designed to further explore the role of privacy in the context of mobile technologies. In a series of unstructured interviews with software developers this paper examines their privacy concept, knowledge of and experience with privacy measures as well as assessment of the different stakeholders involved in the debate around privacy. Finally, the paper merges the findings of the theoretical and empirical work to create a design tool for professionals, focusing on those working in the field of mobile technologies. 1 PRIVATE SPHERES – STRUCTURING THE AMBIGUOUS Firstly, the fluid, situational and ambiguous concept of privacy needs defining. An initial literature review reveals a scope of private spheres (Sloterdijk, 1998) that appears limitless: theoretically any facet of the self can be treated as private: a body, a behaviour, a thought, an interpersonal relation, a piece of information, a timeframe, a physical setting or an object (Nippert-Eng, 2007). Therefore this paper aims at classifying the hitherto diffusely delimited domain, proposing analytically and empirically verified information architectures, applicable to all design problems. 1.1 The Private Sphere – Characteristics of Interpersonally Negotiated Rules of Accessing the Self Two millennia ago Plato defined privacy as the counterpart to the public sphere: the topic has been anchored in philosophical, sociological, political and anthropological discourse ever since (DeCew, Zalta, Nodelman, Allen, & Perry, 2009). However, no interdisciplinary, integrative definition of the scope of privacies has been agreed upon. The theoretical groundwork to psychological types of privacy was given in Erving Altman’s Privacy Regulation Theory (Altman, 1975), understanding privacy as a dialectic process of limiting/ allowing access to a person in an interactive situation. Prof. Anita L. Allen (1987) segmented privacy into the protection of physical, content-related and informational elements, distinguishing physical reclusion/ solitude (1), secrecy, concealment and data security (2), protection of a name, identity and the depiction of an individual in public (3). She completed this with the notion decisional privacy (Allen,
- 20. 1999), adopted by scientists ever since (Pedersen, 2002). Alan Westin distinguished three privacy types, depicting attitudes towards privacy with regard to data security and informational protection, divided into privacy fundamentalists (1), privacy pragmatists (2) and privacy unconcerned (3) can be found in his research findings (Westin, 2001). This extract of the analysis of the private sphere indicates the variety of theoretical models. Nevertheless no exhaustive, all-encompassing structure of privacy is offered: hence our motivation to approach the perception of privacy empirically through quantitative analysis, focusing on real-life examples of what’s considered “private”. 1.2 Empirical Approach – Quantitative Identification of Privacy Perceptions through Survey In order to gauge how the public and private spheres are experienced, a quantitative survey was conducted to gather concrete interpretations. 197 respondents between the age of 16 and 63 were asked to name private/ public situations and conflicts. Furthermore, diverse implicit and explicit strategies to gain privacy in a public setting were inquired upon. The analysis was conducted via an online survey, all gathered example cases were clustered by topic and structured into three infographics: privacy perceptions (1), privacy/ public conflicts (2) and privacy strategies (3). This chapter highlights the first, linking practical privacy perceptions to the theoretical privacy structure derived from the previous literature review. 1.3 Proposed Model of Privacies – Segmentation and Visual Mapping Literature and empirical analysis centers around one point: privacy is not a fixed and visible frontier between personal and public matters, but rather a flexible, permeable membrane of situational, selective accessibility - or lack thereof - to the self (Nippert-Eng,2007). This interactive negotiation of the protected elements of the self, versus the ones that are shared identifies the process of defining and delimiting privacy. Therefore, this paper uses the degree of interactivity to structure privacy: Figure 1. Degree of interaction structures privacies [own illustration] The scientific research underlying this paper distinguishes three types of privacy: physical, social and contentual. Furthermore it proposes a concentric, layered structure to visualize four degrees of privacy: the relative distance towards the center ranges from maximal interaction (circle core, red) to maximal isolation (circle edges, white). Each dot is an empirically gathered answer to the question SEOULSOUTHKOREA “name a situation in which you experience privacy”. The dot distribution indicates that privacy can be perceived at any position in this structure, in situations of complete isolation and complete interaction. Thus this proposed information architecture distances itself from dialectic segmentations that attribute privacy to one of the poles, usually defining privacy as isolation and lack of interaction. The public sphere is often considered the opposite pole to the private sphere (Sokol, 2001), (Brendgens, 2005). However, the clear edge between them has become blurred (Hitzler, 1985) and both notions appear intertwined: it is possible to experience privacy in public, and vice versa. Among the reasons for this blend, only a few are alluded to in this paper: the development of information and communication technologies allowing the public sphere to enter and be actively used to share formerly private situations, the digital revolution and shift towards virtual networks and marketplaces, logging our location, filming our behaviour in public, leaving a trail on the web (Harvard Symposium, 2011). Furthermore the understanding of collectivity and social groups has shifted away from the boundaries of a family to larger communities, changing the collective/ individual perception (Struppek, 2002) and the “sharing behaviour” of its members. Habits, linguistic expressions, customs and cultural codes have become less local, increasing connectivity with people from a variety of cultures and social backgrounds and reducing the frontier between an individual’s private and public persona. All these elements lead to the potential for public/ private conflicts, which were analysed based on empirically gathered responses in the same online survey. 2 PRIVACY CONFLICTS AND STRATEGIES – MAPPING EXAMPLES In the aforementioned survey, experienced challenges and solutions of the private and public sphere were further inquired upon. 2.1 Privacy Conflicts – Duality of Control between an Individual and their Surrounding When asked to name conflicts of privacy/ public, the answers of 197 respondents can be grouped into two causal zones: privacy/public conflicts caused by a loss of control by the individual through the inability to protect one’s privacy (1) and privacy/public conflicts caused be the privacy of others invading on an individual’s privacy in public (2). This can furthermore be structured in the trichotomy of physical, social or contentual private/ public conflicts and mapped in an infographic (fig. 2). Figure 2. Duality of taking/ losing control structures privacy conflicts [own illustration]
- 21. What emerged from the analysis of privacy conflicts wasn’t only the variety of situations in which the private and public spheres clash, but also the interesting frequency of occurrence of conflicts relating to the mobile technology sector. 2.2 Privacy Strategies – Methods to Acquire and Protect and Ephemeral Private Sphere in Public Analogue to the previous analysis, clustering and mapping of conflicts, the empirical study yielded quantitative insights into strategies to acquire and preserve privacy in a public context. When asked “how do you generate/ protect your privacy in a public setting”, the examples of all survey respondents can be structured according to their degree of initiative (proactive or reactive, x-axis) and degree of interaction (isolation versus interaction, y-axis), covering clusters of “adapting” (maximal reactive interaction) to “attack” (maximal proactive interaction), “cocooning” (maximal reactive isolation) and “evasion” (maximal proactive isolation). Design is a crucial element to generate product and service solutions, in broader terms: shaping human experiences. Therefore any action geared towards creating privacy in a public setting can be defined as a design solution and placed along this structured by a dot (fig. 3). The diversity of possible privacy strategies emerges in this visual overview of the status quo of currently used strategies to create, communicate or defend one’s privacy in the public eye: Figure 3. Cases of (re)gaining privacy by degree of initiative and interaction [own illustration] The interesting discrepancy arising from the analysis of 2.1 and 2.2 is the high occurrence of mobile technology as a key privacy conflict, in light of the very limited field of privacy strategies that are currently used in the mobile technology – indicated in blue in fig. 3. When viewing ubiquitous communication via mobile technologies as a metaphor for the public eye, this translates the decennia old privacy/ public conflict in our modern day and age: what are the implications of mobile technology on privacy and vice versa? Which privacy perceptions, conflicts and strategies given by users of mobile technology in the analogue world make sense in the mobile context and how is the issue currently approached by the other end of the spectrum: the people developing mobile technology solutions? SEOULSOUTHKOREA 3 PRIVACY IN MOBILE TECHNOLOGIES – EXAMINING THE PERSPECTIVES OF MOBILE SOFTWARE DEVELOPERS As illustrated in the previous chapter there is a jarring discrepancy between aspects that cause privacy conflicts in mobile technologies and strategies to obtain privacy, the latter being mostly physical, immediate interactions between humans. It is, however, still not clear whether strategies simply misfit the conflicts or whether the technology itself fails to offer adequate solutions. While previous research has shed some light onto user concerns regarding privacy in a mobile context (Barkhuus and Dey, 2003), only little attention has been paid to the attitudes and practices of those who design and create the technological artifacts - mobile developers. To close this gap, this paper presents an empirical account for the privacy concept, conflicts and strategies within mobile software development from the perspective of developers. 3.1 Empirical Approach – Qualitative Investigation of Privacy through Unstructured Interviews The qualitative part of this paper uses unstructured interviews as a means of data collection. The sample consists of 9 software developers, 8 males, 1 female. All interviewees were self-employed, that is either working as a freelance developer or having founded their own company. Half of the participants were working either part- or full-time for clients that were not the end users themselves. Industries that the interviewees have worked in include as far as mentioned: health, education, event management, location-based services, media and entertainment. All interviews were digitally recorded, transcribed and analysed. The qualitative analysis was software-aided and its theoretical background relies on the grounded theory method according to Strauss & Corbin (2008). Grounded theory is an approach to data analysis within which a theory is derived inductively from empirical phenomena. It involves an iterative, circular process consisting of data gathering, data analysis and theory construction. 3.2 Results – Privacy Concepts, Conflicts and Strategies from the Perspective of Mobile Developers The data accumulated through the unstructured interviews was subjected to an inductive analysis. All insights presented are grounded in the qualitative data. They reflect the statements made by the interviewees and mirror their subjective understanding. Hence, the analytical details outlined below cannot be generalized to the whole population of software developers and represent only for sample referred to in this paper. 3.2.1 Privacy in Mobile Software Development – Three Dimensions of Informational Control To explore the concept of privacy in the context of mobile technologies mobile developers were asked how they define privacy. Privacy was unanimously portrayed as the degree of control over information related to oneself, which also includes information about people one interacts with or is associated with. However, to have control over self-related information does not automatically equal privacy. Control can refer to a multitude of things such as knowing what happens with self-related data or the amount and nature of third-party access to particular information, which can range from other single users or social groups to advertising companies. The degree of control depends on a variety of factors, which span three interdependent dimensions: social, technical and contextual. Those dimensions can be synthesized into a model that depicts privacy in a mobile context as the degree of control over information as outlined in figure 4. What can be described as a continuum from interaction to isolation for the general concept of privacy is converted into a continuum of control and lack thereof. The level of control in one dimension will simultaneously affect control levels of the other dimensions. The social dimension refers to aspects of identity of the self or others that one interacts with. Hence, a breach of privacy could be the possibility to tie a person’s activities to their real identity or to track, collect, store and/ or share information about them.
- 22. Figure 4. Control structures privacy in a mobile context [own illustration] However, what is perceived as a violation of privacy in one context can be experienced as appropriate in yet another context, bringing the contextual dimension into play. A user might be happy to give away personal geo-location data, if in turn they are provided with a useful service. However, the analysis of personal correspondence for the same reason might be perceived as objectionable. In this case the context will determine the subjectively perceived degree of control and its relevance to the user. Finally, the technical dimension, though somewhat peripheral to the construction of a privacy concept, bears tremendous influence on it. Technical aspects of an application can dictate whether or not the social details of a user are disclosed in any given context, making aspects such as consent and trust obsolete. Technology, though located on the outskirts of what constitutes privacy, penetrates to the very core of it by being able to take away the control from the user at any time. All in all developers characterized privacy as an elusive, relative term. It is not an action or a particular state of being per se that defines privacy as warranted, but the affective, intraindividual evaluation of a person about what is appropriate and what is not. Moreover, in a mobile context this mental model is expanded by a technical dimension, which has enormous power over the degree of control. Given this disproportionate influential distribution, technological aspects can be the cause of a plethora of privacy conflicts. 3.2.2 Privacy Conflicts – A Bipolar Continuum of Technical and Social Violations As part of the interview developers were further questioned about privacy conflicts with regards to mobile technologies. They should describe conflicts that they were generally aware of, experienced themselves or have been confronted with by their users. A privacy conflict in the context of mobile technologies was defined as unwanted access to or distribution of information. Conflicts, then, are a violation of informational autonomy that results in undesired usage of information. Depending on the cause and type of violation conflicts can be positioned on a bipolar continuum between technical and social violations. A technical violation is mostly economically motivated and associated with material loss. This can for example involve hacking an account and/ or gaining access to sensitive data, such as financial details or the tracking and selling of user specific information to another party, such as an advertising company. A social violation is associated with embarrassment and reputational damage. Access and distribution of sensitive information to other members of various social groups or the general public result in an aversive emotional state. This can for example include reading a personal message or using functions of a mobile application, such as a rating or review function, to share inappropriate information. Technical violations do not only require specific knowledge to access and distribute SEOULSOUTHKOREA information, they also rely on the objective validity of that information. There is no use in erroneous banking details or shopping preferences. Social violations, however, do not have to be genuine in nature to constitute a threat. Also, while technical violations are mostly consciously motivated by some material gain, social violations entail numerous motivations, which can be conscious or unconscious. A person can accidentally read a private message and thereby unknowingly violate someone’s privacy. Likewise, a person can engage in punitive, malicious or derisive behaviour and deliberately access and spread information. In the same way conflicts are continuously distributed between two poles, also privacy strategies can be positioned on a continuum between measures that are technologically-aided and measures that rely on proper conceptual design of an application. 3.2.3 Privacy Strategies – Acquiring Privacy through Technical and Conceptual Design In light of the diverse causes of privacy conflicts, developers were subsequently asked to discuss strategies to prevent or resolve those conflicts. In particular they should assess the role of the user within the privacy debate as well as elaborate on strategies to protect privacy. Those strategies do not only include current actions and procedures, but also the assessment of future solutions to previously discussed conflicts. Developers expected users to be mindful and responsible with regards to the information they provide deliberately. However, they highlighted that technology ought to enable the user to fulfill those characteristics. Strategies depicted by the developers can be segmented in technical and conceptual strategies. Technical strategies refer to measures such as the encryption and secure storage of data, establishment of secure communication protocols as well as thorough data deletion and restriction of third-party access. Those strategies were viewed as straightforward and rather clearly defined. Conceptual strategies, however, were perceived to be more complex. They refer to all the interaction points with user and essentially touch upon the design of an application, which should make it easy for users to protect their data and share it responsibly. Conceptual strategies discussed by the developers included the adequate design of good and protective default settings. Further, transparency has to be established, that is, users need to be informed about changes in the system and its functionality as well as provided with explanations as to why certain permissions to their data are necessary. Moreover, a correct construction of language is essential, which will provide information in a clear and concise way. 4 DESIGN TOOL – DEVELOPMENT OF A BETA-VERSION TOOL FOR PRIVACY IN PUBLIC The quantitative empirical research in this paper illustrated a complex layered, multidimensional model of privacy structured by degrees of interaction with most privacy conflicts occurring in the context of mobile technologies, but most strategies employed by users being inept in this context. A qualitative analysis of the privacy concept in mobile software development revealed that although conflicts and strategies can be technology-related as well as technology-aided, most of them rely on user interaction and the design behind the technology to a very high degree. Hence, this paper combines analogue user strategies of maintaining privacy with digital solutions from developers to create a design tool that will address this issue area. The design tool represents a user-generated, searchable database, which can be consulted via a website/ smart device application. It is comprised of cases that on the one hand communicate real-life privacy conflicts related to mobile technologies and on the other hand map them to user-generated design solutions. The tool is meant to be a living document that is enriched by everyday experiences and paired with sophisticated, crowd-sourced solutions as to how to manage them. The first working prototype is equipped with conflicts and respective solutions from the research outlined in this paper and will be augmented and substantiated by user-generated content. The tool provides a platform for design and engineering professionals to interact with their users as well as colleagues and enables them to solve existing or upcoming conflicts.
- 23. Figure 5 –Beta-Version of Design Tool mapping privacy perceptions, conflicts and strategies [own illustration] 5 CONCLUSION AND FUTURE OUTLOOK This paper outlines the transdisciplinary theoretical and empirical analysis of privacies in the mobile technology context, resulting in a structural model of (1) perceptions of privacy, (2) the conflicts of privacy within ubiquity as well as mobile technologies, (3) the strategies to acquire and protect privacy and (4) the decoding privacy design tool, aimed at mobile developers and designers. By combining methods from design thinking, social sciences and product engineering, the design tool developed in this research positions design sciences at the core of solving one of future’s most pressing challenges – privacy in light of mobile technologies. The concluding design tool consolidates and visualizes all information and serves as guideline and case collection towards developing better product and service solutions in a variety of physical and virtual applications. It allows designers and developers with a design problem in the field of privacies/ ubiquity to position their specific case within the layers, thus clearly (re)defining their problem within the theoretical and empirical framework. Furthermore, neighbouring examples can be viewed, risks for similar conflicts assessed and a broad diversity of privacy solutions using multiple strategies evaluated. This Design Tool is currently in its beta phase, being tested by two design teams in Brussels and Munich and improved before going live, presumably late summer 2013. In its next phase, the design tool will allow accumulation of user-generated content: enabling users to learn from input, examples, insights and mistakes fellow designers or mobile developers have encountered. Despite the theoretical and practical implications of this work it should be noted that future research is necessary to further explore some of the insights gained in this research. Though there is a strong negative correlation between privacy conflicts and currently used strategies, no definitive causal conclusions can be made. Additional investigations should address these aspects and specifically tie privacy strategies to the respective conflicts. Furthermore, the analysis of mobile developers’ privacy concept is qualitative in nature and hence insights derived from this work are limited to the specific sample. Future research should explore whether the analytical results can be validated for developers from different cultures and industries. REFERENCES Allen, A.L. (1987) ‘Taking Liberties: Privacy, Private Choice and Social Contract Theory’, University of Cincinnati Law Review, vol. 56, rev.461. Allen, A.L. (1999) ‘Coercing Privacy’, William and Mary Law Review, vol.40, no.3, rev.723. Altman, I. (1975) The environment and social behaviour: privacy, personal space, territory, crowding, Brooks/Cole Pub. Co. Barkhuus, L. & Dey, A. (2003), ‘Location-based services for mobile telephony: a study of users’ privacy concerns’, Proceedings of the INTERACT 2003, 9TH IFIP TC13 International Conference on conclusions can be made. Additional investigations should address these aspects and specifically tie privacy strategies to the respective conflicts. Furthermore, the analysis of mobile developers’ privacy concept is qualitative in nature and hence insights derived from this work are limited to the specific sample. Future research should explore whether the analytical results can be validated for developers from different cultures and industries. SEOULSOUTHKOREA REFERENCES Allen, A.L. (1987) ‘Taking Liberties: Privacy, Private Choice and Social Contract Theory’, University of Cincinnati Law Review, vol. 56, rev.461. Allen, A.L. (1999) ‘Coercing Privacy’, William and Mary Law Review, vol.40, no.3, rev.723. Altman, I. (1975) The environment and social behaviour: privacy, personal space, territory, crowding, Brooks/Cole Pub. Co. Barkhuus, L. & Dey, A. (2003), ‘Location-based services for mobile telephony: a study of users’ privacy concerns’, Proceedings of the INTERACT 2003, 9TH IFIP TC13 International Conference on Human-Computer Interaction, Zurich, September 1-5, pp.709-712. Brandeis, L. and Warren, S. (1890) ‘The Right to Privacy’, Harvard Law Review, vol.4, no.5, pp.193- 220. Brendgens, G. (2005) ‘Vom Verlust des öffentlichen Raumes - Simulierte Öffentlichkeit in Zeiten des Neoliberalismus’, UTOPIE kreativ, pp.1088-1097. DeCew, J., Zalta, E., Nodelman, U., Allen, C. and Perry, J. (2009), Privacy, Menlo Park, Stanford University, Center for the Study of Language and Information. Harvard Symposium, (2011) ‘Introduction’, Hyper-Public - A Harvard University Symposium on Designing Privacy and Public Space in the Connected World, Harvard University, June 9-10. Hitzler, R. (1985) ‘Und Adam versteckte sich - Öffentlichkeit und Privatheit als subjektive Erfahrung’, Soziale Welt, vol.36, no.4, pp. 503-518. Hubeli, E. (2005), ‘Von der Öffentlichkeit zu einem Universum von Teilöffentlichkeiten’, in 5 Jahre Landesinitiative Städtebaukultur NRW, Gelsenkirchen/Duesseldorf, pp.46-51[unpublished manuscript]. Nippert-Eng, C. (2007) ‘Privacy in the United States: Some Implications for Design’, International Journal of Design, vol.1, no.2, pp.1-10. Pedersen, D. (2002) Model For Types of Privacy by Privacy Functions, Provo, Academic Press. Schaar, P. (2009) Das Ende der Privatsphäre: der Weg in die Überwachungsgesellschaft, München, Bertelsmann. Sloterdijk, P. (1998) Sphären I - Blasen, Mikrosphärologie, Frankfurt am Main, Suhrkamp. Sokol, B. (2001) Mediale (Selbst-)Darstellung und Datenschutz, Duesseldorf, Landesbeauftragte fuer den Datenschutz Nordrhein-Westfalen. Strauss, A. and Corbin, J. (2008), Basics of qualitative research: Techniques and procedures for developing grounded theory, Thousand Oaks, Sage Publications, Incorporated. Struppek, M. (2002) Title: Interaktionsfeld - öffentlicher Raum im Digitalen Zeitalter, Dissertation, Kaiserslautern, Universitaet Kaiserslautern. Turkle, S. (2004) ‘How computers change the way we think’, Chronicle of Higher Education: Information Technology [online], http://chronicle.com/article/How-Computers-Change-the- Way/10192/ (13.05.2013). Westin, D. (2001) ‘Balancing Privacy and Public Uses of Criminal History Information’, in T. N. Statistics (Ed.) (2001), National Conference on Privacy, Technology and Criminal Justice Information, Sacramento, SEARCH, The National Consortium for Justice Information and Statistics, pp.38-46. ACKNOWLEDGEMENTS Sincere Thanks to Sandra HIRSCH and Prof. Fritz FRENKLER at Technical University Munich, Lukas MURMANN, Miriam ALTHAMMER and Philipp WALZ for the urban privacy research in Munich and Johannes LECHNER and Albert FELLER for IT and coding support in building the Beta.
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