1. Sleeping With Technology
Designing For Personal Health
Christel De Maeyer
MIConnect 25 April 2013
Genk

2. Overview
• Why PI
• Overview of tools I research
• Research Ques7on
• How? Fogg’s MAT model and Behavior Grid
• Theory in real world prac7se
• Results

3. Personal Informa7cs – Quan7fied Self

4. Self‐Tracking Apps

5. Self‐Tracking Devices

6. Self‐Tracking Devices Dashboards

7. Is 24/7 self‐monitoring creaHng
enough awareness and persuasion to
get a balanced lifestyle?
Will it bring a general wellbeing with
self‐monitored people?

8. Measuring:
Calorie burning
Food Intake
Steps
Physical Ac7vity
Sleep
Behavior change through technology or
Persuasive Technology
Body Media armband as a measuring device

9. Model for understanding
persuasive side of the device and
soNware applica7on using Body Media
Fogg, 2010

10. Measuring Behavior and
Behavioral Change
Fogg, 2010, Behavior Grid and Wizzard

11. GoalseTng theory in PI
Debjanee et al, 2012

12. Sampling
Gender Age Culture Lifestyle

13. October ‐
November
Phase I
Fall
tracking
December
‐ February
Phase II
Silent
Period
March‐
April
Phase III
Spring
tracking
Mid‐Long Period Research

14. Selfmonitoring
process
Goal seTng
Data
interpreta7on
Coaching/
feedback loop
Taxonomy of Self‐Monitoring
Personal
Coaching
Ananthanarayan, Siek, 2012
Fogg, 2007
Adapted taxonomy

15. Results of social experiment
first findings Phase I
• Recep7on of the device
• Food Intake
• Prac7cal use
• Iden7fica7on with the device
• Small changes – need versus no need
• Contextual factors – family – weather – 7me ‐
culture
• Conclusion

16. Recep7on of the device

17. Recep7on of the device

18. Food Intake

19. Prac7cal use

20. Iden7fica7on with the device

21. Small changes

22. Contextual factors

23. Conclusion experimental group

24. Conclusion control group

25. Conclusion Phase II Silent Period

27. References
1. Swamy Ananthanarayan, Ka7e A. Siek, 2012, Persuasive Wearable Technology Design for Health and Wellness,
Department of Computer Science, University of ColoradoBoulder, Pervasive Health 2012, May 21‐24, San
Diego, United States, Copyright © 2012 ICST
2. BJ Fogg, 2003, Persuasive Technology, Using Computers to change what we think and do, Morgan Kaufman
Publishers
3. BJ Fogg & Dean Eckles, 2007, Mobile Persuasion, Stanford Captaology Media
4. BJ Fogg, Jason Herha, 2010, Behavior Wizard: A Method for Matching Target Behaviors with Solu7ons
5. N. Colineau and C. Paris. 2011, Mo7va7ng reflec7on about health within the family: the use of goal seTng
and tailored feedback. UMUAI , pages 1‐36, 2011.
6. Ian Li, A Jodi Forlizzi, Anind Dey, 2010, Know thyself: monitoring and reflec7ng on facets of one’s life. Proceedings of the
28th of the interna7onal conference extended abstracts on Human factors in compu7ng systems,Atlanta, Georgia, USA.
7. Ian Anthony Rosas Li, 2011, Personal Informa7cs and Context:Using Context to Reveal Factors that Affect Behavior,
CMU‐HCII‐11‐106 Human‐Computer Interac7on Ins7tute, School of Computer Science Carnegie Mellon University Pijsburgh, Pennsylvania, US
8. Ian Li, Yevgenly Medynskly, et al, 2012, Personal Informa7cs in Prac7ce:Improving Quality of Life Trough Data, CHI’12, May5‐10, 2012, Aus7n , Texas, USA.
9. E. A. Locke and G. P. Latham. 2002, Building a prac7cally useful theory of goal seTng and task mo7va7on: A 35‐year odyssey.
American Psychologist , 57(9):705‐717
10. D. Norman, 2010, Living with complexity, MIT Press
11. Richard M. Ryan and Edward L. Deci, 2000, Intrinsicand extrinsic mo7va7ons: classic defini7onss and new direc7ons,
Contemporary Educa7onal Psychology 25, 54‐67

28. Thanks to Body Media Inc. for providing the armbands!
Thanks to Prof. An Jacobs
Thanks to par7cipants
Christel.De.Maeyer@vub.ac.be
Sleeping with technology . com
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