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Optimizing Smartphone
Micro-usage with
Smartwatch Notifications
Laurens Bolle, Robin De Croon, Erik Duval
http://augment.cs.kuleuven.be
Nikola Banovic, Christina Brant, Jennifer Mankoff, and Anind Dey. 2014. ProactiveTasks: the short of mobile device use sessions. In Proceedings of the
16th international conference on Human-computer interaction with mobile devices & services (MobileHCI '14). ACM, New York, NY, USA, 243-252.
Ferreira, D., Kostakos, V., Dey, A.K. AWARE: mobile context instrumentation framework. Frontiers in ICT (Vol 2, Issue 6), 2015,
14 students
Optimizing Smartphone Micro-usage with Smartwatch Notifications
http://arstechnica.com/gadgets/2014/06/android-wear-review/3/
Optimizing Smartphone Micro-usage with Smartwatch Notifications
Optimizing Smartphone Micro-usage with Smartwatch Notifications
Optimizing Smartphone Micro-usage with Smartwatch Notifications
http://forresterhighschool.org.uk/wp-content/uploads/2014/02/Evaluation.jpg
- 9 students
- 3 days
- Perceived usefulness
- SUS
- User tracking
perceived usefulness (before  after)
before evaluation
after evaluation
F. D. Davis. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pages 319–340, 1989.
System Usability Score (average score 80/100)
Brooke, John. "SUS-A quick and dirty usability scale." Usability evaluation in industry 189.194 (1996): 4-7.
0 50 100 150 200 250 300 350 400 450
SMS
Email
notifications vs actions
Notifications Actions
0%
10%
20%
30%
40%
50%
60%
Mark as Read Delete Open on phone Remind me Quick Reply
Most used actions
SMS Email
smartphone micro-usage
decreased 5%
application micro-usage
increased 5%
Question slide
http://www.macobserver.com/imgs/teaser_images/20150410apple_watch_questio

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Optimizing Smartphone Micro-usage with Smartwatch Notifications

Editor's Notes

  • #3: We collected data from 10 participants (7 male and 3 female) who were recruited through online postings and social media. Participants were between 20 and 50 (median=25) years old. Data collection lasted between 18 and 36 days (median=31). Participants were not compensated for taking part in the study.
  • #5: 14 students  one week
  • #11: 3 questionnaires Looked into the results