1,607
Views
10
CrossRef citations to date
0
Altmetric
Articles

Continued use of wearables for wellbeing with a cultural probeFootnote*

&
Pages 1140-1166 | Received 28 Nov 2017, Accepted 21 Jul 2018, Published online: 06 Aug 2018

References

  • Anderson, L., & Ostrom, A. L. (2015). Transformative service research: Advancing our knowledge about service and well-being. Journal of Service Research, 18(3), 243–249.
  • Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017). Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. Informatics, 4(1), 5.
  • Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26.
  • Becker, M., Kolbeck, A., Matt, C., & Hess, T. (2017). Understanding the continuous use of fitness trackers: A thematic analysis. Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Langkawi.
  • Bernhaupt, R., Obrist, M., Weiss, A., Beck, E., & Tscheligi, M. (2008). Trends in the living room and beyond: Results from ethnographic studies using creative and playful probing. Computers in Entertainment (CIE), 6(1), 5.
  • Boehner, K., Vertesi, J., Sengers, P., & Dourish, P. (2007). How HCI interprets the probes, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.
  • Boudreau, M.-C., & Robey, D. (2005). Enacting integrated information technology: A human agency perspective. Organization Science, 16(1), 3–18.
  • Bowers-Campbell, J. (2008). Cyber “pokes”: motivational antidote for developmental college readers. Journal of College Reading and Learning, 39(1), 74–87.
  • Canhoto, A. I., & Arp, S. (2017). Exploring the factors that support adoption and sustained use of health and fitness wearables. Journal of Marketing Management, 33(1–2), 32–60.
  • 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. Proceedings of the The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
  • Cohen, S. R., Sawatzky, R., Russell, L. B., Shahidi, J., Heyland, D. K., & Gadermann, A. M. (2017). Measuring the quality of life of people at the end of life: The McGill quality of life questionnaire–revised. Palliative Medicine, 31(2), 120–129.
  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.
  • Cosley, D., Churchill, E., Forlizzi, J., & Munson, S. A. (2017). Introduction to this special issue on the lived experience of personal informatics. Human Computer Interaction, 32(5–6), 197–207.
  • De Guinea, A. O., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33(3), 433–444.
  • Fogg, B. (2009). The behavior grid: 35 ways behavior can change. Proceedings of the The 4th international Conference on Persuasive Technology.
  • Fogg, B. J. (2009). A behavior model for persuasive design. Proceedings of the The 4th international Conference on Persuasive Technology.
  • Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., … Haines, A. (2013). The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: A systematic review. PLoS Medicine, 10(1), e1001362.
  • 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. Proceedings of the The SIGCHI Conference on Human Factors in Computing Systems.
  • Gao, Y., Li, H., & Luo, Y. (2015). An empirical study of wearable technology acceptance in healthcare. Industrial Management & Data Systems, 115(9), 1704–1723.
  • Gaver, B., Dunne, T., & Pacenti, E. (1999). Design: Cultural probes. Interactions, 6(1), 21–29.
  • Glanz, K., & Bishop, D. B. (2010). The role of behavioral science theory in development and implementation of public health interventions. Annual Review of Public Health, 31, 399–418.
  • Grönroos, C. (2011). A service perspective on business relationships: The value creation, interaction and marketing interface. Industrial Marketing Management, 40(2), 240–247.
  • Harrison, D., Marshall, P., Bianchi-Berthouze, N., & Bird, J. (2015). Activity tracking: barriers, workarounds and customisation. Proceedings of the The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
  • Hermsen, S., Moons, J., Kerkhof, P., Wiekens, C., & De Groot, M. (2017). Determinants for sustained use of an activity tracker: Observational study. Jmir Mhealth and Uhealth, 5(10), e164.
  • Hong, J.-C., Lin, P.-H., & Hsieh, P.-C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264–272.
  • Karapanos, E., Gouveia, R., Hassenzahl, M., & Forlizzi, J. (2016). Wellbeing in the making: Peoples’ experiences with wearable activity trackers. Psychology of Well-Being, 6(1), 4.
  • Kersten-van Dijk, E. T., Westerink, J. H., Beute, F., & IJsselsteijn, W. A. (2017). Personal informatics, self-insight, and behavior change: A critical review of current literature. Human–Computer Interaction, 32(5–6), 197–207.
  • Kim, D.-J., Lee, Y., Rho, S., & Lim, Y.-K. (2016). Design opportunities in three stages of relationship development between users and self-tracking devices. Proceedings of the CHI Conference on Human Factors in Computing Systems.
  • Kim, H., Chan, H. C., & Chan, Y. P. (2007). A balanced thinking–feelings model of information systems continuance. International Journal of Human-Computer Studies, 65(6), 511–525.
  • Kim, J. (2018). The effect of patient participation through physician’s resources on experience and wellbeing. Sustainability, 10(6), 1–14.
  • Kim, K., & Shin, D.-H. (2015). An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Research, 25(4), 527–541.
  • Kim, Y., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361–370.
  • King, R. B. (2015). Sense of relatedness boosts engagement, achievement, and well-being: A latent growth model study. Contemporary Educational Psychology, 42, 26–38.
  • Laird, T. F. N., & Kuh, G. D. (2005). Student experiences with information technology and their relationship to other aspects of student engagement. Research in Higher Education, 46(2), 211–233.
  • Laver, K., George, S., Ratcliffe, J., & Crotty, M. (2012). Measuring technology self efficacy: Reliability and construct validity of a modified computer self efficacy scale in a clinical rehabilitation setting. Disability and Rehabilitation, 34(3), 220–227.
  • Li, I., Dey, A., Forlizzi, J., Höök, K., & Medynskiy, Y. (2011). Personal informatics and HCI: Design, theory, and social implications. Proceedings of the CHI’11 on Human Factors in Computing Systems.
  • McColl-Kennedy, J. R., Hogan, S. J., Witell, L., & Snyder, H. (2017). Cocreative customer practices: Effects of health care customer value cocreation practices on well-being. Journal of Business Research, 70, 55–66.
  • Michel, S., Brown, S. W., & Gallan, A. S. (2008). An expanded and strategic view of discontinuous innovations: Deploying a service-dominant logic. Journal of the Academy of Marketing Science, 36(1), 54–66.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks, CA: SAGE Publications.
  • Mullane, A., Laaksolahti, J., & Svanæs, D. (2014). Wearable probes for service design. Proceedings of the The Fourth Service Design and Service Innovation Conference (ServDes), Lancaster University, UK.
  • Nenonen, S., Rasila, H., Junnonen, J.-M., & Kärnä, S. (2008). Customer Journey–a method to investigate user experience. Proceedings of the The Euro FM Conference Manchester, UK.
  • Ostrom, A. L., Parasuraman, A., Bowen, D. E., Patricio, L., & Voss, C. A. (2015). Service research priorities in a rapidly changing context. Journal of Service Research, 18(2), 127–159.
  • Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. Plos Medicine, 13(2), e1001953.
  • PwC. (2016). The Wearable Life 2.0: Connected living in a wearable world.
  • Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the health belief model. Health Education Quarterly, 15(2), 175–183.
  • Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
  • Saldaña, J. (2013). The coding manual for qualitative researchers. Thousand Oaks, CA: SAGE Publications.
  • Sellen, A. J., & Whittaker, S. (2010). Beyond total capture: A constructive critique of lifelogging. Communications of the ACM, 53(5), 70–77.
  • Stajkovic, A. D., & Luthans, F. (2003). Social cognitive theory and self-efficacy: Implications for motivation theory and practice. Motivation and Work Behavior, 126, 140.
  • Stretcher, V., DeVellis, M., Becker, M., & Rosenstock, I. (1986). Self-efficacy and the health belief model. Health Education Quarterly, 13, 73–92.
  • Sweeney, J. C., Danaher, T. S., & McColl-Kennedy, J. R. (2015). Customer effort in value cocreation activities: Improving quality of life and behavioral intentions of health care customers. Journal of Service Research, 18(3), 318–335.
  • Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension and update of service-dominant logic. Journal of the Academy of Marketing Science, 44(1), 5–23.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
  • Wang, C., Harris, J., & Patterson, P. (2013). The roles of habit, self-efficacy, and satisfaction in driving continued use of self-service technologies: A longitudinal study. Journal of Service Research, 16(3), 400–414.
  • Walden, C. & Sell, A. (2017). Wearables and wellness for the young elderly - transforming everyday lives? BLED 2017 Proceedings. http://aisel.aisnet.org/bled2017/6
  • Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256–269.
  • Yap, S. C., Anusic, I., & Lucas, R. E. (2012). Does personality moderate reaction and adaptation to major life events? Evidence from the British household panel survey. Journal of Research in Personality, 46(5), 477–488.
  • Yasobant, S. (2015). Physical health promotion through modern technologies: Challenges to concerns. In V. C. X. Wang (Ed.), Handbook of research on advancing health education through technology (pp. 329–346). Hershey, PA: IGI Global.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.