The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
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Do Wearable Devices Change Behavior? A Study of Smart Fitness Trackers

  • Wan, Lili (Hankuk University of Foreign Studies) ;
  • Zhang, Chao (Hankuk University of Foreign Studies)
  • Received : 2020.02.14
  • Accepted : 2020.03.12
  • Published : 2020.03.31
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Abstract

Purpose The study focuses on the physical activity behavior change effect of smart wristband, which is the most popular type of fitness tracker nowadays. The purpose of the research is to investigate how people's workout behavior may change after wearing a smart band and examine what kind of role persuasive design plays in behavior change. Design/Methodology/Approach This research employed an experimental study to examine whether the user's workout behaviors changed after using wristband from the "Behavior Wizard" perspective. A representative smart wristband from a major vendor was selected as the objects of experimental study. In the experiment, by comparing users' workout behavior before and after using the wristband, behavior changes of all the experiment participants were classified into one of the 15 behavior change types. Users perceived persuasive design characteristics were measured and group differences were tested among different behavior change groups. Findings This research found that nearly half of the participants changed their workout behavior while half retained their workout status or no exercise status. Half of the participants who did not do exercise in their spare time started walking in the experiment. Results also showed that participants who started working out perceived higher levels of persuasive design devised into the smart band than participants who preserved no exercise status, except for facilitation and reward strategies. Participants who retained workout and those who increased workout frequency perceived no difference in smart band persuasive design.

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References

  1. Abedtash H., and Holden R.J. "Systematic Review of the Effectiveness of Healthrelated Behavioral Interventions Using Portable Activity Sensing Devices (PASDs)," Journal of American Medical Informatics Association Vol. 24, No. 5, Sep 2017, pp. 1002-1013. https://doi.org/10.1093/jamia/ocx006
  2. Attig C., and Franke T., "I Track, Therefore I Walk - Exploring the Motivational Costs of Wearing Activity Trackers in Actual Users," International Journal of Human-Computer Studies, Vol. 127, July 2019, pp. 211-224. https://doi.org/10.1016/j.ijhcs.2018.04.007
  3. Fogg, B. J., Persuasive Technology: Using Computers to Change What We Think and Do, Morgan Kaufmann, Dec. 2002.
  4. Fogg, B. J., Persuasive Technology: Using Computers to Change What We Think and Do, San Francisco: Morgan Kaufmann Publishers, 2003.
  5. Fogg, B.J., The Behavior Grid: 35 Ways Behavior Can Change, Persuasive 2009, 2009, pp. 42.
  6. Fogg, B., and Hreha, J., "Behavior Wizard: a Method for Matching Target Behaviors with Solutions," In Persuasive 2010 (Copenhagen, Denmark, 2010), Springer-Verlag Berlin Heidelberg, 2010, pp. 117-131.
  7. Gualtieri L, Rosenbluth S, and Phillips J., "Can a Free Wearable Activity Tracker Change Behavior? The Impact of Trackers on Adults in a Physician-led Wellness Group," JMIR Research Protocols, Vol. 5, No. 4, Nov 2016, pp. 237. https://doi.org/10.2196/resprot.6534
  8. Harjumaa M., Segerstahl K., and Oinas- Kukkonen H., "Understanding Persuasive System Functionality in Practice: a Field Trial of Polar FT60," Proceedings of the Fourth International Conference on Persuasive Technology, ACM International Conference Proceeding Series, Vol. 350, Claremont, CA, USA, 2009, pp. 26-29.
  9. Kerner C. and Goodyear V., "The Motivational Impact of Wearable Healthy Lifestyle Technologies: A Self-determination Perspective on Fitbits With Adolescents," American Journal of Health Education, Vol. 48 No. 5, 2017, pp.287-297. https://doi.org/10.1080/19325037.2017.1343161
  10. Nelson, E.C., Verhagen, T., and Noordzij, M.L., "Health Empowerment through Activity Trackers: An Empiricalsmart Wristband Study," Computers in Human Behavior, Vol. 62, 2016, pp. 364-374. https://doi.org/10.1016/j.chb.2016.03.065
  11. Oinas-Kukkonen, H. and Harjumaa, M., "Persuasive Systems Design: Key Issues, Process Model, and System Features," Communications of the Association for Information Systems, Vol. 24, No. 28, 2009, pp. 485-500.
  12. Poirier J., Bennett W.L., and Jerome G.J., "Effectiveness of an Activity Trackerand Internet-based Adaptive Walking Program for Adults: a Randomized Controlled Trial," Journal of Medical Internet Research, Vol. 18, No. 2, 2016, pp.34. https://doi.org/10.2196/jmir.5295
  13. Simons, H.W., Morreale, J., and Gronbeck, B., Persuasion in Society, Sage Publications, Inc., Thousand Oaks, 2001.
  14. Tehrani, K., and Michael, A., "Wearable Technology and Wearable Devices: Everything You Need to Know," Wearable Devices Magazine, WearableDevices.com, Web, 2014
  15. Wright, R., and Keith, L., "Wearable Technology: If the Tech Fits, Wear it," Journal of Electronic Resources in Medical Libraries, Vol. 11, No. 4, 2014, pp. 204-216. https://doi.org/10.1080/15424065.2014.969051
  16. Zhang C., Wan, L., and Min, D., "Car App's Persuasive Design Principles and Behavior Change," Proceedings of the International Conference on Internet Technologies and Society 2016, ITS 2016 Melbourne, Australia, Dec 2016, pp. 73-82.
  17. Zhang C., Wan, L., and Min, D., "Persuasive Design Principles of Car Apps", Proceedings of Business Information Systems, 19th International Conference in BIS 2016, Leipzig, Germany, July 2016, pp. 397-410.
  18. Zhang C., Wan, L., and Min, D., "A Classification of Car-related Mobile Apps: For App Development from a Convergence Perspective," Journal of Digital Convergence, Vol. 15, No. 3, 2017, pp. 77-86. https://doi.org/10.14400/JDC.2017.15.3.77
  19. Zhang C., and Wan L., "A Feasibility Study on Adopting Individual Information Cognitive Processing as Criteria of Categorization on Apple iTunes Stores," Journal of Information Systems, Vol. 27, No. 2, 2018, pp. 01-28.
  20. Zhang C., and Wan L., "Adopting Production System in Cognitive Psychology to Improve the Extraction Process of Persuasive Design Characteristics for Healthcare-related Applications," Journal of Information Systems, Vol. 27, No. 3, 2018, pp. 25-42. https://doi.org/10.5859/KAIS.2018.27.3.25
  21. Zhang C., and Wan L., "The Extraction Process of Durative Persuasive System Design Characteristics for Healthcare-related Mobile Applications," International Journal Of Advanced Smart Convergence, Vol. 8, No.2, 2019, pp. 18-29. https://doi.org/10.7236/ijasc.2019.8.2.18
  22. Rackspace 2013, Wearable Tech Will Drive the Rise of the 'Human Cloud' of Personal Data, Says Rackspace Study, Retrieved March 6, 2020, Available:https://www.rackspace.com/newsroom/wearable-tech-will-drive-the-rise-of-the-human-cloud-of-personal-data-says-rackspace-study