Analyzing the Design Space of Personal Informatics: A State-of-Practice Based Classification of Existing Tools

by | Jan 1, 2015 | Research Publications

Author(s):

  • Fredrik Ohlin
  • Carl Magnus Olsson
  • Paul Davidsson 

Abstract:

We are presently seeing a rapid increase of tools for tracking and analyzing activities, from lifelogging in general to specific activities such as exercise tracking. Guided by the perspectives of collection, procedural, and analysis support, this paper presents the results from a review of 71 existing tools, striving to capture the design choices within personal informatics that such tools are using. The classification system this creates is a contribution in three ways: as a standalone state-of-practice representation, for assessing individual tools and potential future design directions for them, and as a guide for new development of personal informatics tools.

Documentation:

https://doi.org/10.1007/978-3-319-20678-3_9

References:
  1. Basis. http://www.mybasis.com
  2. Beeminder. https://www.beeminder.com
  3. Bentley, F., Tollmar, K., Stephenson, P., Levy, L., Jones, B., Robertson, S., Price, E., Catrambone, R., Wilson, J.: Health mashups: presenting statistical patterns between wellbeing data and context in natural language to promote behavior change. Trans. Comput.-Hum. Inter. (TOCHI) 20(5), 1–27 (2013)CrossRef  Google Scholar 
  4. Boesel, W.E.: What is the Quantified Self now? May 2013. http://thesocietypages.org/cyborgology/2013/05/22/what-is-the-quantified-self-now/
  5. Breeze. http://breezeapp.com
  6. Chartmyself. https://www.chartmyself.com
  7. Choe, E.K., Lee, N.B., Lee, B., Pratt, W., Kientz, J.A.: Understanding quantified-selfers’ practices in collecting and exploring personal data. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, pp. 1143–1152. ACM, New York (2014) Google Scholar 
  8. Coach.me. http://www.coach.me
  9. Corbin, J., Strauss, A.: Grounded theory research: procedures, canons, and evaluative criteria. Qual. Sociol. 13(1), 3–21 (1990)CrossRef  Google Scholar 
  10. Dailydiary. https://www.dailydiary.com
  11. Drinking diary. http://www.drinkingdiary.com
  12. Expereal. http://expereal.com
  13. Fit simply. http://www.fitly.io
  14. Fitbit. http://fitbit.com
  15. Fogg, B.J.: Persuasive Technology. Morgan Kaufmann, San Francisco (2003) Google Scholar 
  16. Fritz, T., Huang, E.M., Murphy, G.C., Zimmermann, T.: Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, pp. 487–496. ACM, New York (2014) Google Scholar 
  17. Garmin connect. http://connect.garmin.com/
  18. i.strive.to. http://i.strive.to
  19. Jawbone up. https://jawbone.com/up
  20. Jawbone up coffee. https://jawbone.com/up/coffee
  21. Joe’s goals. http://www.joesgoals.com
  22. Khovanskaya, V., Baumer, E.P.S., Cosley, D., Voida, S., Gay, G.: “Everybody knows what you’re doing”: a critical design approach to personal informatics. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 3403–3412. ACM, New York (2013) Google Scholar 
  23. Li, I., Dey, A., Forlizzi, J.: A stage-based model of personal informatics systems. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2010, pp. 557–566. ACM, New York (2010) Google Scholar 
  24. Loggr. http://www.loggr.me
  25. Mint. https://www.mint.com
  26. Moves. https://www.moves-app.com
  27. Nike+. http://nikeplus.nike.com
  28. Personal informatics tools. http://www.personalinformatics.org/tools/, Retrieved 2014–06-06
  29. Pirzadeh, A., He, L., Stolterman, E.: Personal informatics and reflection: a critical examination of the nature of reflection. In: CHI 2013 Extended Abstracts on Human Factors in Computing Systems, pp. 1979–1988. ACM, New York (2013) Google Scholar 
  30. Reporter. http://www.reporter-app.com
  31. Rescuetime. https://www.rescuetime.com
  32. Rooksby, J., Rost, M., Morrison, A., Chalmers, M.C.: Personal tracking as lived informatics. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, pp. 1163–1172. ACM, New York (2014) Google Scholar 
  33. rtracker. http://www.realidata.com/cgi-bin/rTracker/iPhone/rTracker-main.pl
  34. Runkeeper. http://runkeeper.com
  35. Saga. http://www.getsaga.com
  36. Shilton, K.: Participatory personal data: an emerging research challenge for the information sciences. J. Am. Soc. Inform. Sci. Technol. 63(10), 1905–1915 (2012)CrossRef  Google Scholar 
  37. Strava. https://www.strava.com
  38. Swan, M.: The quantified self: fundamental disruption in big data science and biological discovery. Big Data 1(2), 85–99 (2013)CrossRef  Google Scholar 
  39. T2 mood tracker. http://t2health.dcoe.mil/apps/t2-mood-tracker
  40. Toggl. http://toggl.com
  41. Withings health mate. http://www.withings.com/health-mate.html
  42. Withings smart body analyzer. http://www.withings.com/smart-body-analyzer.html
  43. your.flowingdata. http://your.flowingdata.com