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http://dx.doi.org/10.5865/IJKCT.2022.12.1.007

Personal Informatics as an Information Ecology: Activity Trackers and Relational Affordances  

Jarrahi, Mohammad Hossein (UNC School of Information and Library Service)
Publication Information
International Journal of Knowledge Content Development & Technology / v.12, no.1, 2022 , pp. 7-16 More about this Journal
Abstract
With the proliferation of activity-tracking devices and other smart tools, more users leverage these personal informatics technologies to track their physical and fitness-related activities. The research on the benefits (and limitations) of these devices tends to focus on the use of a single tool, leaving out the interactions among multiple technologies, and how these interactions influence the way users perceive their affordances. Building from an ecological perspective, I extend this research by providing insight into the competitive and complementary relationships among activity tracking devices and other fitness-related and personal informatics technologies within the device ecology of technologies around the user. The affordances of these devices are therefore not enacted in isolation but are relational to understanding of other technological options and differing personal preferences and goals of the user.
Keywords
Information Ecology; Relational Affordances; Activity Tracking Devices; Personal Informatics; Ecological Perspective;
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1 Brickwood, K.-J., Watson, G., O'Brien, J., & Williams, A. D. (2019). Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR mHealth and uHealth, 7(4), e11819.   DOI
2 Li, I., Froehlich, J., Larsen, J. E., Grevet, C., & Ramirez, E. (2013). Personal informatics in the wild: hacking habits for health & happiness. In CHI'13 Extended Abstracts on Human Factors in Computing Systems, New York.
3 Bodker, S., & Klokmose, C. N. (2012). Dynamics in artifact ecologies. In Proceedings of the 7th Nordic Conference on Human-Computer Interaction, Copenhagen, Denmark.
4 Cadmus-Bertram, L. A., Marcus, B. H., Patterson, R. E., Parker, B. A., & Morey, B. L. (2015). Randomized trial of a Fitbit-based physical activity intervention for women. American journal of preventive medicine, 49(3), 414-418.   DOI
5 Cheon, E., Jarrahi, M. H., & Su , N. M. (2016). "Technology isn't always the best": The Intersection of Health Tracking Technologies and Information Practices of Digital Natives. In The Proceedings of the IEEE International Conference on Healthcare Informatics 2016 Chicago, IL.
6 Harrison, D., Marshall, P., Bianchi-Berthouze, N., & Bird, J. (2015). Activity tracking: barriers, workarounds and customisation. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.
7 Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.
8 Nelson, E. C., Verhagen, T., & Noordzij, M. L. (2016). Health empowerment through activity trackers: An empirical smart wristband study. Computers in Human Behavior, 62, 364-374.   DOI
9 Mercer, K., Giangregorio, L., Schneider, E., Chilana, P., Li, M., & Grindrod, K. (2016). Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR mHealth and uHealth, 4(1).
10 Meyer, J., Fortmann, J., Wasmann, M., & Heuten, W. (2015). Making lifelogging usable: Design guidelines for activity trackers. In International Conference on Multimedia Modeling, Sydney, Australia.
11 Rapp, A., & Tirassa, M. (2017). Know thyself: A theory of the self for personal informatics. Human-Com puter Interaction, 32(5-6), 335-380.   DOI
12 Yang, R., Shin, E., Newman, M. W., & Ackerman, M. S. (2015). When fitness trackers don't'fit': end-user difficulties in the assessment of personal tracking device accuracy. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.
13 Houben, S., Tell, P., & Bardram, J. E. (2014). Activityspace: Managing device ecologies in an activity-centric configuration space. In Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, Dresden, Germany.
14 Dominick, G. M., Winfree, K. N., Pohlig, R. T., & Papas, M. A. (2016). Physical activity assessment between consumer-and research-grade accelerometers: a comparative study in free-living conditions. JMIR mHealth and uHealth, 4(3).
15 Fritz, T., Huang, E. M., Murphy, G. C., & Zimmermann, T. (2014). 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, Toronto, Canada.
16 Gulotta, R., Forlizzi, J., Yang, R., & Newman, M. W. (2016). Fostering Engagement with Personal Informatics Systems. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems, Brisbane, Australia.
17 McMahon, S. K., Lewis, B., Oakes, M., Guan, W., Wyman, J. F., & Rothman, A. J. (2016). Older adults' experiences using a commercially available monitor to self-track their physical activity. JMIR mHealth and uHealth, 4(2).
18 Dearman, D., & Pierce, J. S. (2008). It's on my other computer!: computing with multiple devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy.
19 Ridgers, N. D., McNarry, M. A., & Mackintosh, K. A. (2016). Feasibility and effectiveness of using wearable activity trackers in youth: a systematic review. JMIR mHealth and uHealth, 4(4).
20 Murnane, E. L., Walker, T. G., Tench, B., Voida, S., & Snyder, J. (2018). Personal informatics in interpersonal contexts: towards the design of technology that supports the social ecologies of long-term mental health management. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1-27.
21 Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. C. (2014). Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems, Toronto, Canada..
22 Ashur, C., Cascino, T. M., Lewis, C., Townsend, W., Sen, A., Pekmezi, D., Richardson, C. R., & Jackson, E. A. (2021). Do wearable activity trackers increase physical activity among cardiac rehabilitation participants? A systematic review and meta-analysis. Journal of cardiopulmonary rehabilitation and prevention, 41(4), 249-256.   DOI
23 Shin, G., Jarrahi, M. H., Fei, Y., Karami, A., Gafinowitz, N., Byun, A., & Lu, X. (2019). Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of biomedical informatics, 93, 103153.   DOI
24 Stolterman, E., Jung, H., & Will, R. (2013). Device Landscapes: A New Challenge to Interaction Design and HCI Research. Archives of Design Research, 26, 7-33.
25 Clawson, J., Pater, J. A., Miller, A. D., Mynatt, E. D., & Mamykina, L. (2015). No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist. In Proceed ings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan.
26 Harrison, D., Marshall, P., Berthouze, N., & Bird, J. (2014). Tracking physical activity: problems related to running longitudinal studies with commercial devices. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Seattle.
27 Shih, P. C., Han, K., Poole, E. S., Rosson, M. B., & Carroll, J. M. (2015). Use and Adoption Challenges of Wearable Activity Trackers. In The Proceedings of iConference 2015, Newport Beach, CA.
28 Vasiliou, C., Ioannou, A., & Zaphiris, P. (2015). An artifact ecology in a nutshell: A distributed cognition perspective for collaboration and coordination Human-Computer Interaction-INTER ACT 2015 (pp. 55-72): Springer.