skip to main content
10.1145/2702123.2702230acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation

Published:18 April 2015Publication History

ABSTRACT

Habit formation is an important part of behavior change interventions: to ensure an intervention has long-term effects, the new behavior has to turn into a habit and become automatic. Smartphone apps could help with this process by supporting habit formation. To better understand how, we conducted a 4-week study exploring the influence of different types of cues and positive reinforcement on habit formation and reviewed the functionality of 115 habit formation apps. We discovered that relying on reminders supported repetition but hindered habit development, while the use of event-based cues led to increased automaticity; positive reinforcement was ineffective. The functionality review revealed that existing apps focus on self-tracking and reminders, and do not support event-based cues. We argue that apps, and technology-based interventions in general, have the potential to provide real habit support, and present design guidelines for interventions that could support habit formation through contextual cues and implementation intentions.

References

  1. Aarts, H., Paulussen, T., and Schaalma, H. Physical exercise habit: on the conceptualization and formation of habitual health behaviours. Health Education Research, 12, 3 (1997), 363--374.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bandura, A. Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes 50, 2 (1991), 248--287.Google ScholarGoogle ScholarCross RefCross Ref
  3. BCT Taxonomy. (2014). Behaviour Change Technique Taxonomy. http://www.bct-taxonomy.com/Google ScholarGoogle Scholar
  4. Consolvo, S., Klasnja, P., McDonald, D.W., Avrahami, D., Froehlich, J., LeGrand, L., Landay, J.A. Flowers or a robot army?: Encouraging awareness & activity with personal, mobile displays. In Proc. UbiComp 2008, ACM Press (2008), 54--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Cowan, L.T., Van Wagenen, S.A., Brown, B.A., Hedin, R.J., Seino-Stephan, Y., Hall, P.C., and West, J.H. Apps of steel: are exercise apps providing consumers with realistic expectations? A content analysis of exercise apps for presence of behavior change theory. Health Education & Behavior, 40, 2 (2013), 133--139.Google ScholarGoogle ScholarCross RefCross Ref
  6. Dayer, L., Heldenbrand, S., Anderson, P., Gubbins, P. O., & Martin, B. C. Smartphone medication adherence apps: Potential benefits to patients and providers. Journal of the American Pharmacists Association, 53, 2 (2013), 172--181.Google ScholarGoogle Scholar
  7. Deci, E.L., Koestner, R., and Ryan, R.M. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125, 6 (1999), 627--668.Google ScholarGoogle ScholarCross RefCross Ref
  8. Dickinson, A. Actions and habits: the development of behavioural autonomy. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 308, 1135 (1985), 67--78.Google ScholarGoogle Scholar
  9. Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Haines, A. The effectiveness of mobilehealth technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Medicine, 10, 1 (2013), 1--26.Google ScholarGoogle ScholarCross RefCross Ref
  10. Fogg, B. Ways to celebrate tiny successes, retrieved 8/09/2014 from www.slideshare.net/tinyhabits/dr-bjfogg-ways-to-celebrate-tiny-successesGoogle ScholarGoogle Scholar
  11. Gardner, B., Abraham, C., Lally, P., & de Bruijn, G.-J. Towards parsimony in habit measurement: testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index. The International Journal of Behavioral Nutrition and Physical Activity, 9, 1 (2012), 102.Google ScholarGoogle ScholarCross RefCross Ref
  12. Gollwitzer, P. Implementation Intentions: Strong Effects of Simple Plans. American Psychologist, 54, 7 (1999), 493--503.Google ScholarGoogle ScholarCross RefCross Ref
  13. Guynn, M.J., McDaniel, M.A, & Einstein, G.O. Prospective memory: when reminders fail. Memory & Cognition, 26, 2 (1998), 287--298.Google ScholarGoogle ScholarCross RefCross Ref
  14. Klasnja, P., Consolvo, S., and Pratt, W. How to evaluate technologies for health behavior change in HCI research In Proc. CHI 2011, ACM Press (2011), 3063--3072. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Kopp, J. Self-monitoring: A literature review of research and practice. Social Work Research & Abstracts, 24, (1988), 8--20.Google ScholarGoogle ScholarCross RefCross Ref
  16. Lally, P., and Gardner, B. Promoting habit formation. Health Psychology Review, 7, Sup. 1 (2011), 1--22.Google ScholarGoogle Scholar
  17. Lally, P., van Jaarsveld, C.H.M., Potts, H.W.W., and Wardle, J. How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40, 6 (2010), 998--1009.Google ScholarGoogle ScholarCross RefCross Ref
  18. Lally, P., Wardle, J., & Gardner, B. Experiences of habit formation: a qualitative study. Psychology, Health & Medicine, 16, 4 (2011), 484--9.Google ScholarGoogle Scholar
  19. McLean, VA, Motivating Patients to Use Smartphone Health Apps, PR Web, retrieved on 8/09/2014 from http://prweb.com/releases/2011/04/prweb5268884.htmGoogle ScholarGoogle Scholar
  20. Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., . . . Wood, C.E. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46, 1 (2012), 81--95.Google ScholarGoogle Scholar
  21. Neal, D.T., Wood, W., Labrecque, J.S., and Lally, P. How do habits guide behavior? Perceived and actual triggers of habits in daily life. Journal of Experimental Social Psychology, 48, 2 (2012), 492--498.Google ScholarGoogle ScholarCross RefCross Ref
  22. Nelson, R.O. Assessment and therapeutic functions of self-monitoring. In M. Hersen, R.M. Eisler and P.M. Miller, eds., Progress in behavior modification. Academic Press, New York, 1977.Google ScholarGoogle Scholar
  23. Park, D.C., and Kidder, D.P. Prospective memory and medication adherence. In M. Brandimonte, G.O. Einstein, and M.A. McDaniel (Eds.), Prospective memory: Theory and applications. Lawrence Erlbaum Associates (1996), 369--390.Google ScholarGoogle Scholar
  24. Pew Internet Research, Mobile Technology Fact Sheet, retrieved on 08/20/2014 from: http://www.pewinternet. org/fact-sheets/mobile-technology-fact-sheet/Google ScholarGoogle Scholar
  25. Rooksby, J., Rost, M., Morrison, A., and Chalmers, M. Personal tracking as lived informatics. In Proc. CHI 2014, ACM Press (2014), 1163--1172. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Rothman, A.J. Toward a theory-based analysis of behavioral maintenance. Health Psychology, 19, 1, Sup. 1 (2000), 64--69.Google ScholarGoogle ScholarCross RefCross Ref
  27. Schæfer, E.G. and Laing, M.L. "Please, remind me"?: The role of others in prospective remembering. Applied Cognitive Psychology, 14, 7 (2000), S99--S114.Google ScholarGoogle Scholar
  28. Shevchik, L. Mobile APPeal: Exploring the Mobile Landscape, New Relic, retrieved on 8/09/2014 from http://blog.newrelic.com/2013/03/13/mobile-appe-alwhy-the-future-is-mobile/Google ScholarGoogle Scholar
  29. Stawarz, K., Cox, A., and Blandford, A. Don't forget your pill!: designing effective medication reminder apps that support users' daily routines. In Proc. CHI 2014, ACM Press (2014), 2269--2278. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Tobias, R. Changing behavior by memory aids: a social psychological model of prospective memory and habit development tested with dynamic field data. Psychological Review, 116, 2 (2009), 408--38.Google ScholarGoogle ScholarCross RefCross Ref
  31. Verplanken, B. Habits and implementation intentions. In J. P. D. Kerr, R. Weitkunat, and M. Moretti (Eds.), ABC of Behavior Change: A Guide to Successful Disease Prevention and Health Promotion. Elsevier Science Health Science Division, 2005.Google ScholarGoogle Scholar
  32. Verplanken, B., and Orbell, S. Reflections on Past Behavior: A Self-Report Index of Habit Strength. Journal of Applied Social Psychology, 33, 6 (2003), 1313--1330.Google ScholarGoogle ScholarCross RefCross Ref
  33. Verplanken, B., and Wood, W. Interventions to Break and Create Consumer Habits. Journal of Public Policy & Marketing, 25, 1 (2006), 90--103.Google ScholarGoogle ScholarCross RefCross Ref
  34. West, J.H., Hall, P.C., Hanson, C.L., Barnes, M.D., Giraud-Carrier, C., and Barrett, J. There's an app for that: content analysis of paid health and fitness apps. Journal of Medical Internet Research, 14, 3 (2012), e72.Google ScholarGoogle ScholarCross RefCross Ref
  35. Wood, W., and Neal, D.T. A new look at habits and the habit-goal interface. Psychological Review, 114, 4 (2007), 843--63.Google ScholarGoogle ScholarCross RefCross Ref
  36. Wood, W., and Neal, D.T. The habitual consumer. Journal of Consumer Psychology, 19, 4 (2009), 579--592.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123

      Copyright © 2015 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader