Can Mobile Apps Motivate Fitness Tracking? A Study of Technological Affordances and Workout Behaviors

References

• Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., & Albrecht, U. (2014). mHealth 2.0: Experiences, possibilities, and perspectives. JMIR mHealth and uHealth, 2(2), e24. doi:10.2196/mhealth.3328
   PubMed Web of Science ®Google Scholar
• Biocca, F., Harms, C., & Burgoon, J. K. (2003). Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators & Virtual Environments, 12(5), 456–480. doi:10.1162/105474603322761270
   Web of Science ®Google Scholar
• Clarke, T. C., Norris, T., & Schiller, J. S. (2017, May). Early release of selected estimates based on data from the 2016 national health interview survey [PDF document]. Retrieved from https://www.cdc.gov/nchs/data/nhis/earlyrelease/earlyrelease201705.pdf
   Google Scholar
• Conroy, D. E., Yang, C. H., & Maher, J. P. (2014). Behavior change techniques in top-ranked mobile apps for physical activity. American Journal of Preventive Medicine, 46(6), 649–652. doi:10.1016/j.amepre.2014.01.010
   PubMed Web of Science ®Google Scholar
• Egli, T., Bland, H. W., Melton, B. F., & Czech, D. R. (2011). Influence of age, sex, and race on college students’ exercise motivation of physical activity. Journal of American College Health, 59(5), 399–406. doi:10.1080/07448481.2010.513074
   PubMed Web of Science ®Google Scholar
• England, A. (2017, May 6). BodySpace—Social fitness app. Retrieved from https://www.techworld.com/download/hobbies-home-entertainment/bodyspace-social-fitness-app-3331176/
   Google Scholar
• Evans, S. K., Pearce, K. E., Vitak, J., & Treem, J. W. (2017). Explicating affordances: A conceptual framework for understanding affordances in communication research. Journal of Computer‐Mediated Communication, 22(1), 35–52. doi:10.1111/jcc4.12180
   Web of Science ®Google Scholar
• Gibson, J. J. (1979). The ecological approach to visual perception. Boston, MA: Houghton Mifflin.
   Google Scholar
• Gonzàlez-Cutre, D., Sicilia, A., & Aguila, C. (2011). Interplay of different contextual motivations and their implications for exercise motivation. Journal of Sports Science & Medicine, 10(2), 274–282.
   PubMed Web of Science ®Google Scholar
• Ho, L., Wu, W., & Chiou, W. (2016). Analgesic effect of Facebook: Priming with online social networking may boost felt relatedness that buffers against physical pain. Scandinavian Journal of Psychology, 57(5), 433–436. doi:10.1111/sjop.12313
   PubMed Web of Science ®Google Scholar
• Jung, E. H., & Sundar, S. S. (2016, August). Senior citizens’ interactions on Facebook: The effects of social networking affordances on psychological well-being. Paper presented at the Annual Conference of the Association for Education in Journalism and Mass Communication, Minneapolis, MN.
   Google Scholar
• Kang, H., & Sundar, S. S. (2016). When self is the source: Effects of media customization on message processing. Media Psychology, 19(4), 561–588. doi:10.1080/15213269.2015.1121829
   Web of Science ®Google Scholar
• Kilpatrick, M., Hebert, E., & Bartholomew, J. (2005). College students’ motivation for physical activity: Differentiating men’s and women’s motives for sport participation and exercise. Journal of American College Health, 54(2), 87–94. doi:10.3200/JACH.54.2.87-94
   PubMed Web of Science ®Google Scholar
• Kim, K. J., Shin, D., & Yoon, H. (2017). Information tailoring and framing in wearable health communication. Information Processing & Management, 53(2), 351–358. doi:10.1016/j.ipm.2016.11.005
   Web of Science ®Google Scholar
• Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: A national survey. JMIR mHealth and uHealth, 3(4), e101. doi:10.2196/mhealth.3949
   PubMed Web of Science ®Google Scholar
• Lee, J. Y., & Sundar, S. S. (2012). To tweet or to retweet? That is the question for health professionals on Twitter. Health Communication, 28(5), 509–524. doi:10.1080/10410236.2012.700391
   PubMed Web of Science ®Google Scholar
• Lee, M., Kim, M. J., Suh, D., Kim, J., Jo, E., & Yoon, B. (2016). Feasibility of a self-determination theory-based exercise program in community-dwelling South Korean older adults: Experiences from a 13-month trial. Journal of Aging and Physical Activity, 24(1), 8. doi:10.1123/japa.2014-0056
   PubMed Web of Science ®Google Scholar
• Li, S., Feng, B., Li, N., & Tan, X. (2015). How social context cues in online support-seeking influence self-disclosure in support provision. Communication Quarterly, 63(5), 586–602. doi:10.1080/01463373.2015.1078389
   Web of Science ®Google Scholar
• Litman, L., Rosen, Z., Spierer, D., Weinberger-Litman, S., Goldschein, A., & Robinson, J. (2015). Mobile exercise apps and increased leisure time exercise activity: A moderated mediation analysis of the role of self-efficacy and barriers. Journal of Medical Internet Research, 17(8), e195. doi:10.2196/jmir.4142
   PubMed Web of Science ®Google Scholar
• McGrath, S. A., & Chananie-Hill, R. (2014). Female bodybuilding. In C. J. Forsyth & H. Copes (Eds.), Encyclopedia of social deviance (Vol. 1, pp. 270–272). Thousand Oaks, CA: SAGE Publications.
   Google Scholar
• Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of Communication, 60(3), 413–439. doi:10.1111/j.1460-2466.2010.01488.x
   Web of Science ®Google Scholar
• Moreno, J. A., López, M., Martinez, C., Alonso, N., & González-Cutre, D. (2008). Peers’ influence on exercise enjoyment: A self-determination theory approach. Journal of Sports Science & Medicine, 7(1), 23–31.
   PubMed Web of Science ®Google Scholar
• Perro, J. (2018, March 23). Mobile apps: What’s a good retention rate? [Blog post]. Retrieved from http://info.localytics.com/blog/mobile-apps-whats-a-good-retention-rate
   Google Scholar
• Resnicow, K., Davis, R., Zhang, N., Strecher, V., Tolsma, D., Calvi, J., … Cross, W. E. (2009). Tailoring a fruit and vegetable intervention on ethnic identity: Results of a randomized study. Health Psychology, 28(4), 394–403. doi:10.1037/a0015217
   PubMed Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2002). Overview of self-determination theory: An organismic dialectical perspective. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 3–33). Rochester, NY: University Rochester Press.
   Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78. doi:10.1037/0003-066X.55.1.68
   PubMed Web of Science ®Google Scholar
• Salmon, J. (2016). Top 6 best bodybuilding apps. Retrieved from https://generationiron.com/best-bodybuilding-apps/
   Google Scholar
• Smith, A. C. T., & Stewart, B. (2012). Body perceptions and health behaviors in an online bodybuilding community. Qualitative Health Research, 22(7), 971–985. doi:10.1177/1049732312443425
   PubMed Web of Science ®Google Scholar
• Standage, M., Sebire, S. J., & Loney, T. (2008). Does exercise motivation predict engagement in objectively assessed bouts of moderate-intensity exercise? A self-determination theory perspective. Journal of Sport & Exercise Psychology, 30(4), 337–352. doi:10.1123/jsep.30.4.337
   PubMed Web of Science ®Google Scholar
• Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzer & A. J. Flanagin (Eds.), Digital, media, youth, and credibility (pp. 72–100). Cambridge, MA: MIT Press.
   Google Scholar
• Sundar, S. S., Bellur, S., & Jia, H. (2012). Motivational technologies: A theoretical framework for designing preventive health applications. In M. Bang & E. L. Ragnemalm (Eds.), Proceedings of the 7th International Conference on Persuasive Technology (PERSUASIVE 2012), Lecture notes in Computer Science, 7284 (pp. 112–122). Berlin, Germany: Springer.
   Google Scholar
• Sundar, S. S., Jia, H., Waddell, F., & Huang, Y. (2015). Towards a theory of interactive media effects (TIME). In S. S. Sundar (Ed.), The handbook of the psychology of communication technology (pp. 47–86). Chichester, UK: John Wiley & Sons.
   Google Scholar
• Sundar, S. S., Xu, Q., & Oeldorf-Hirsch, A. (2013, June). How deeply do we process online recommendations? Heuristic vs. systematic processing of authority and bandwagon cues. Paper presented at the 63rd annual conference of the International Communication Association, London, UK.
   Google Scholar
• Tajfel, H., & Turner, J. C. (1979). An integrative theory of inter-group conflict. In W. G. Austin & S. Worchel (Eds.), The social psychology of inter-group relations (pp. 33–47). Monterey, CA: Brooks.
   Google Scholar
• Teixeira, P. J., Going, S. B., Houtkooper, L. B., Cussler, E. C., Metcalfe, L. L., Blew, R. M., … Lohman, T. G. (2006). Exercise motivation, eating, and body image variables as predictors of weight control. Medicine and Science in Sports and Exercise, 38(1), 179–188. doi:10.1249/01.mss.0000180906.10445.8d
   PubMed Web of Science ®Google Scholar
• Turkay, S., & Adinolf, S. (2015). The effects of customization on motivation in an extended study with a massively multiplayer online roleplaying game. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 9(3), 72–87. doi:10.5817/CP2015-3-2
   Google Scholar
• Voth, E. C., Oelke, N. D., & Jung, M. E. (2016). A theory-based exercise app to enhance exercise adherence: A pilot study. JMIR mHealth and uHealth, 4(2), e62. doi:10.2196/mhealth.4997
   PubMed Web of Science ®Google Scholar
• Williams, G. C., Grow, V. M., Freedman, Z. R., Ryan, R. M., & Deci, E. L. (1996). Motivational predictors of weight loss and weight-loss maintenance. Journal of Personality and Social Psychology, 70(1), 115–126. doi:10.1037/0022-3514.70.1.115
   PubMed Web of Science ®Google Scholar
• Zhang, J., Brackbill, D., Yang, S., & Centola, D. (2015). Efficacy and causal mechanism of an online social media intervention to increase physical activity: Results of a randomized controlled trial. Preventive Medicine Reports, 2, 651–657. doi:10.1016/j.pmedr.2015.08.005
   PubMedGoogle Scholar
• Zhang, Y. (2016). Understanding the sustained use of online health communities from a self‐determination perspective. Journal of the Association for Information Science and Technology, 67(12), 2842–2857. doi:10.1002/asi.23560
   Web of Science ®Google Scholar