Author(s):

  • Meyer, Jochen
  • Beck, Elke
  • Wasmann, Merlin
  • Boll, Susanne

Abstract:

Long term self monitoring with connected personal health devices offers tremendous opportunities for wellbeing, health, and prevention. However, to date it is not fully understood how users perceive monitoring in the long term and how they implement it in their daily lives. We observed 7 participants that used a comprehensive set of connected personal health devices for 9 months and inquired their opinions and experiences. Users varied broadly in how they used the devices and how they engaged with the collected data. Implementation and use of long-monitoring evolved over time, leading to subtle but distinct differences to short term use. We found five relevant use cases: behavior support, improved self understanding, identification of trends and relations, decision making, and data collection for future use.

Document:

https://doi.org/10.1109/ICHI.2017.11

References:

1. S. Consolvo, D. W. McDonald, T. Toscos, M. Y. Chen, J. Froehlich, B. Harrison, et al., “Activity sensing in the wild: a field trial of UbiFit garden”, CHI ’08 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1797-1806, 2008. Show Context Access at ACM Google Scholar

2. D. Harrison, N. Berthouze, P. Marshall and J. Bird, “Tracking physical activity: problems related to running longitudinal studies with commercial devices”, UbiComp ’14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 699-702, 2014. Show Context Access at ACM Google Scholar

3. E. Karapanos, R. Gouveia, M. Hassenzahl and J. Forlizzi, “Wellbeing in the making: Peoples’ experiences with wearable activity trackers”, Psychol. Well. Being., vol. 6, no. 4, 2016. Show Context CrossRef Google Scholar

4. T. Fritz, E. M. Huang, G. C. Murphy and T. Zimmermann, “Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness”, CHI’14 Proc. SIGCHI Conf. Hum. Factors Comput. Syst., pp. 487-496, 2014. Show Context Access at ACM Google Scholar

5. I. Li, A. Dey and J. Forlizzi, “A stage-based model of personal informatics systems”, CHI’ 10 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 557, 2010. Show Context Access at ACM Google Scholar

6. M. Whooley, B. Ploderer and K. Gray, “On the Integration of Self-tracking Data Amongst Quantified Self Members”, Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014-Sand Sea and Sky – Holiday HCI, pp. 151-160, 2014. Show Context CrossRef Google Scholar

7. D. A. Epstein, A. Ping, J. Fogarty, S. A. Munson, C. Science and H. C. Design, “A Lived Informatics Model of Personal Informatics”, UbiComp ’15 Proc. 2015 ACM Int. Jt. Conf Pervasive Ubiquitous Comput., pp. 731-742, 2015. Show Context Access at ACM Google Scholar

8. I. Li, A. K. Dey and J. Forlizzi, “Understanding my data myself”, UbiComp ’11 Proc. 13th Int. Conf Ubiquitous Comput., pp. 405, 2011. Show Context Access at ACM Google Scholar

9. “Inside Wearables – How the Science of Behavior Change Offers the Secret to Long-Term Engagement”, Endeavour Partners LLC, 2014. Show Context Google Scholar

10. A. Lazar, C. Koehler, J. Tanenbaum and D. H. Nguyen, “Why we use and abandon smart devices”, UbiComp ’15 Proc. 2015 ACM Int. Jt. Conf. Pervasive Ubiquitous Comput., pp. 635-646, Sep. 2015. Show Context Access at ACM Google Scholar

11. D. A. Epstein, M. Caraway, C. Johnston, A. Ping, J. Fogarty and S. A. Munson, “Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use”, CHI ’16 Proc. SIGCHI Conf. Hum. Factors Comput. Syst., 2016. Show Context Access at ACM Google Scholar

12. J. Clawson, J. A. Pater, A. D. Miller, E. D. Mynatt and L. Mamykina, “No LongerWearing: Investigating the Abandonment of Personal Health-Tracking Technologies on Craigslist”, UbiComp ’15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 647-658, 2015. Show Context Access at ACM Google Scholar

13. J. Rooksby, M. Rost, A. Morrison and M. C. Chalmers, “Personal tracking as lived informatics”, CHI’ 14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1163-1172, 2014. Show Context Access at ACM Google Scholar

14. J. Meyer, J. Fortmann, M. Wasmann and W. Heuten, “Making Lifelogging Usable: Design Guidelines for Activity Trackers” in Multimedia Modeling 2015, Sydney, NSW, Autralia:Lecture Notes in Computer Science, vol. 8936, pp. 323-334, 2015. Show Context Google Scholar

15. F. Bentley, K. Tollmar and P. Stephenson, “Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change”, Tochi, vol. 20, no. 5, 2013. Show Context Access at ACM Google Scholar

16. N. D. Lane, M. Lin, M. Mohammod, X. Yang, H. Lu, G. Cardone, et al., “BeWell: Sensing Sleep Physical Activities and Social Interactions to Promote Wellbeing”, Mob. Networks Appl., vol. 19, no. 3, pp. 345-359, 2014. Show Context CrossRef Google Scholar

17. D. Estrin, “Small data where n = me”, Commun. ACM, vol. 57, no. 4, pp. 32-34, 2014. Show Context Access at ACM Google Scholar

18. K. Karrer, C. Glaser, C. Clemens and C. Bruder, “Technikaffinität erfassen – der Fragebogen TA-EG (Assessing affinity to technology – the TA-EG questionnaire)”, Der Mensch im Mittelpunkt technischer Systeme, vol. 8, pp. 196-201, 2009. Show Context Google Scholar

19.Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ) – Short and Long Forms, 2005. Show Context Google Scholar

20. P. Mayring, “Qualitative Inhaltsanalyse” in Handbuch Qualitative Forschung in der Psychologie, Wiesbaden:VS Verlag f{ü}r Sozialwissenschaften, pp. 601-613, 2010. Show Context CrossRef Google Scholar

21. S. Consolvo, K. Everitt, I. Smith and J. A. Landay, “Design requirements for technologies that encourage physical activity”, CHI ‘06 Proc. SIGCHI Conf. Hum. Factors Comput. Syst., pp. 457-466, 2006. Show Context Access at ACM Google Scholar

22. R. Gouveia, E. Karapanos and M. Hassenzahl, “How do we engage with activity trackers?: a longitudinal study of Habito”, UbiComp ’15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 1305-1316, 2015. Show Context Access at ACM Google Scholar