Miceb quantified
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The document discusses the "Quantified Self" movement, which uses self-tracking tools to gain self-knowledge. It explores how technologies like sensors, mobile devices, and data visualization are helping people quantify and understand aspects of themselves, such as physical activity, health metrics, productivity, learning, and social interactions. The goal is to use data to provide insights, but the document cautions that data must be interpreted properly to have value and not promote "magical thinking."
Miceb quantified
- 1. Preliminary Draft Technologies du Soi E-Strategies Dec. 19th 2014 Productivity is a measure of your ability to act on real-time information
- 2. The Quantified Self Intro Domains Technology Cases ©2014 L. SCHLENKER
- 3. Intro Domains Technology Cases ©2014 L. SCHLENKER
- 4. ©2013 L. SCHLENKER • It’s not reality that augmented, it’s our Self • With 200 million e-mails and 72 hours of video posted every minute – we’ve created a parallel, digital universe • This digital mirror is becoming more real than reality •Building this mirror of our beliefs, motivations and objectives is becoming a critical business challenge Intro Domains Technology Cases ©2014 L. SCHLENKER M. FOUQUET & G. COURSIN
- 5. • The mechanical clock • Harder, better, faster… • Mechanized productivity • Knowledge productivity • Continuous Productivity Intro Domains Technology Cases ©2014 L. SCHLENKER
- 6. ©2013 L. SCHLENKER • Tennis is stats heavy : serve percentages, forehand winners, aces, unforced errors • Give the amateur some way of assessing his or her game • Hitting the sweet spot 100 % of the time doesn’t mean you’ll win • Data is often misleading, but winning is often about fractions. • It does have the potential to change the way we think about coaching Intro Domains Technology Cases ©2014 L. SCHLENKER
- 7. The author suggests that the "Quantified Self" movement is about self knowledge. What does he want to know about himself? Describe one of the applications described in the article (audience, data sources, interface, use scenarios, observations). The article points out the fallacy of "magical thinking". What does this mean and how does this this apply to the Quantified Self? The article concludes that the goal isn't to do more work, but to do better work. What does this mean to you? Richard J. Anderson Intro Domains Technology Cases ©2014 L. SCHLENKER
- 8. ©2013 L. SCHLENKER •Your search history •Your search trends •Your contacts •Your location •Your interests and demographics www.google.com/dashboard ©2014 L. SCHLENKER Intro Domains Technology Cases
- 9. ©2013 L. SCHLENKER • Self –knowledge – what am I like? • Cognitive, affective, executive self • Physical, social and physiological worlds • Impact on how experience is encoded Intro Domains Technology Cases ©2014 L. SCHLENKER
- 10. ©2013 L. SCHLENKER • Mental, physical, emotional states • Psychiatry – an indication of one health • Cognitive psychology – thinking and feeling • Buddhism – our ability to “color” the mind Intro Domains Technology Cases ©2014 L. SCHLENKER
- 11. •Data mediates the experience of reality. •Quantimetric self-tracking and wearable computers •Quantimetric self-sensing •Gary Wolf - the Quantified Self Early prototype of "Quantimetric Self-Sensing" apparatus, 1996 Intro Domains Technology Cases ©2014 L. SCHLENKER
- 12. • Pythagoras of Samos - number is the key to reality • Immanuel Kant - reality is comprehensible through categories of significance (schemata) • Michel Foucault: - technologies of the Self • Martin Heidegger - care of the self before care of others • Timothy Leary – «turn on, tune in, drop out” • Steve Mann: - Souveillance vs. Surveillanc QS as way of sharing meaning rather than quantifying the individual? Intro Domains Technology Cases ©2014 L. SCHLENKER
- 13. Frame Cloud Figure (s) Oracle Leon Battista Alberti Intro Domains Technology Cases ©2014 L. SCHLENKER
- 14. ©2013 L. SCHLENKER I. Health and Well-being II. Personal and Group Productivity III. Education IV. Social Interaction Intro Domains Technology Cases ©2014 L. SCHLENKER
- 15. • Mobile devices and embedded sensors can track heart rate, blood sugar, caloric intake, sleep quality…. . • Capters can beam data to cloud databases, which send advice to consumers • There is a real need in health-care to cut down the number of unnecessary medical visits • Google has funded 23andMe Inc., Fitbit has drawn $43 million from investment firms Intro Domains Technology Cases ©2014 L. SCHLENKER
- 16. • People have been keeping checklists and to do’s for decades • Ask the right question and then find the right mix between curiosity and measurable data • RescueTime led writer Gina Trapani to switch to a standing desk and WordPress creator Matt Mullenweg do impose new email rules. •Mint for tracking where every Euro and cent goes. •MoodPanda for noting on a simple 1- 10 scale how you’re feeling •PlaceMe, for automated location tracking system Intro Domains Technology Cases ©2014 L. SCHLENKER
- 17. • Track what you read – when, what, where you stop, what you highlight, what you annotate • Track what you write - how many words, how many pages, what and when you write…. • Track how you learn - who you listen to , what you say, how you search…. • Technology can enable real-time feedback •Santa Monica College’s Glass Classroom, Stanford’s Multimodal Learning Analytics • Do something with what you discover http://www.edudemic.com/learning-analytics-in-education/ http://glassclassroom.blogspot.fr/2012/12/the-glass-classroom- big-data.html Intro Domains Technology Cases ©2014 L. SCHLENKER
- 18. ©2013 L. SCHLENKER • Using data for personal meaning challenge our ideas about human connection • Social networks like Facebook and Twitter transform our social interactions into quantifiable data streams • Social Graph - interactions between people in a social network • Is it possible to track emotions, passions and memories? • Could QS help us live together in a sustainable way? Will our communities be looking after us, taking care, encouraging us, as well as discipline us? Joerg Blumtritt Intro Domains Technology Cases ©2014 L. SCHLENKER
- 19. ©2013 L. SCHLENKER I. Big Data, Little Data II. Cloud Computing III. Open Data IV. Sensors and Capters V. Visualisation Intro Domains Technology Cases ©2014 L. SCHLENKER
- 20. ©2013 L. SCHLENKER • Examples •Walmart : 1 million transactions/hr •BBC: 7 PB video served/month • Big Data definition: data sets on social interactions that are too complex for traditional DBMS (volume, velocity, variety) • Little Data : data sets on individual rather collective behavior • Structured and unstructured data Source: Mary Meeker, Internet Trends, Intro Domains Technology Cases ©2014 L. SCHLENKER
- 21. ©2013 L. SCHLENKER • Computing as service rather than a product • Focuses on maximizing shared resources • Public, private or hybrid • Infrastructure as a service (IaaS) • Platform as a service (PaaS) • Software as a service (SaaS) Intro Domains Technology Cases ©2014 L. SCHLENKER
- 22. • The idea that certain data should be freely available to everyone to use • Facts cannot legally be copyrighted, but aggregated data can be privately owned. • Journal publication is an implicit release of the data to the Commons • Midata, the UK government’s initiative to give consumers access to data about them that is held by brands Anja Jentzsch ©2014 L. SCHLENKER Intro Domains Technology Cases
- 23. ©2013 L. SCHLENKER •The Internet of things: Physical objects linked by the Internet that interact through web services •Usual gadgetry (e.g.; smartphones, tablets) and now everyday objects: cars, food, clothing, appliances, materials, parts, buildings, roads •Embedded microprocessors in 5% human-constructed objects (2012)1 Melanie Swan 1Source: Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012. http://singularitysummit.com/schedule Intro Domains Technology Cases
- 24. ©2013 L. SCHLENKER • Study of abstract data to improve human cognition • Lévi-Strauss – the world has become so complex that we must “simplify it” to understand it •Goal of data visualization is to communicate information clearly and efficiently • Visualization is today a critical component in scientific research, data mining, finance, and market studies Intro Domains Technology Cases ©2014 L. SCHLENKER
- 25. ©2013 L. SCHLENKER I. Babolat II. Sensory Fashion III. Asthmapolis IV. Sleep on It Intro Domains Technology Cases ©2014 L. SCHLENKER
- 26. ©2013 L. SCHLENKER • Tennis is stats heavy : serve percentages, forehand winners, aces, unforced errors • Give the amateur some way of assessing his or her game • Hitting the sweet spot 100 % of the time doesn’t mean you’ll win • Data is often misleading, but winning is often about fractions. • It does have the potential to change the way we think about coaching Intro Domains Technology Cases ©2014 L. SCHLENKER
- 27. ©2013 L. SCHLENKER • Uses fashion and IT to create responsive clothes offering therapeutic value •Scents as tools to improve mental and physical wellbeing • A localized ‘scent cloud’ is released to fit specific moods • Goal is unlock emotional memories and to complement mood monitoring tools for the ‘Quantified Self’ Dr Jenny Tillotson Intro Domains Technology Cases ©2014 L. SCHLENKER
- 28. ©2013 L. SCHLENKER • 8.4% of Americans, or over 25 million people, suffer from asthma. • Third-leading cause of death in the US with $50 billion associated annual healthcare costs • Helps researchers pinpoint environmental triggers and monitor the population of asthma suffers • Attaches to an asthma inhaler and logs the time and geographic location each time its used • Uncontrolled asthma declines by 50 percent http://youtu.be/6CH1IxzmwUs Intro Domains Technology Cases ©2014 L. SCHLENKER
- 29. ©2013 L. SCHLENKER • Sleep is the third pillar of health (with diet and exercise) • Works on the basis of actigraphy, which is the detection and analysis of muscular movement •Sleep data reveals how your sleep is related to factors such as diet, stress, and physical activity • The physical and psychological benefits have yet to be proven ©2014 L. SCHLENKER Intro Domains Technology Cases
Editor's Notes
- #6: Technics and Civilization, the historian Lewis Mumford