Health on the move—can we keep up? Activity tracker performance test to measure data and strategic skills

References

• Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010
   Web of Science ®Google Scholar
• Barnaghi, P., Wang, W., Henson, C., & Taylor, K. (2012). Semantics for the internet of things: Early progress and back to the future. International Journal on Semantic Web and Information Systems, 8(1), 1–21. https://doi.org/10.4018/jswis.2012010101
   Web of Science ®Google Scholar
• Birch, J. (2018). How to wake up on the right side of the bed. Retrieved March 18, 2020, from https://blog.fitbit.com/effects-of-sleep-deprivation/
   Google Scholar
• Blank, G., & Lutz, C. (2018). Benefits and harms from Internet use: A differentiated analysis of Great Britain. New Media & Society, 20(2), 618–640. https://doi.org/10.1177/1461444816667135
   Web of Science ®Google Scholar
• Bowler, L., Acker, A., Jeng, W., & Chi, Y. (2017). “It lives all around us”: Aspects of data literacy in teen’s lives. Proceedings of the Association for Information Science and Technology, 54(1), 27–35. https://doi.org/10.1002/pra2.2017.14505401004
   Google Scholar
• Brown, M., Coughlan, T., Lawson, G., Goulden, M., Houghton, R. J., & Mortier, R. (2013). Exploring interpretations of data from the Internet of Things in the home. Interacting with Computers, 25(3), 204–217. https://doi.org/10.1093/iwc/iws024
   Web of Science ®Google Scholar
• 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 [Paper presentation]. UbiComp 2015 – Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 647–658).
   Google Scholar
• Consolvo, S., Klasnja, P., McDonald, D. W., & Landay, J. A. (2009). Goal-setting considerations for persuasive technologies that encourage physical activity. In Proceedings of the 4th international Conference on Persuasive Technology (pp. 1–8).
   Google Scholar
• Correa, T. (2016). Digital skills and social media use: How Internet skills are related to different types of Facebook use among ‘digital natives’. Information Communication and Society, 19(8), 1095–1107. https://doi.org/10.1080/1369118X.2015.1084023
   Web of Science ®Google Scholar
• De Boer, P. S., van Deursen, A. J. A. M., & van Rompay, T. J. L. (2020). Internet-of-Things Skills Among the General Population: Task-Based Performance Test Using Activity Trackers. JMIR Hum Factors, 7(4), e22532. https://doi.org/10.2196/22532
   PubMedGoogle Scholar
• Goldin, C., & Katz, L. (2008). The race between education and technology. Harvard University Press.
   Google Scholar
• Gouveia, R., Karapanos, E., & Hassenzahl, M. (2015). How do we engage with activity trackers? A longitudinal study of habito [Paper presentation]. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1305–1316). https://doi.org/10.1145/2750858.2804290
   Google Scholar
• Hargittai, E. (2002). Second-level digital divide: Mapping differences in people’s online skills. New Monday, 7(4), 942. https://doi.org/10.5210/fm.v7i4.942.
   Google Scholar
• Hargittai, E., & Shafer, S. (2006). Differences in actual and perceived online skills: The role of gender. Social Science Quarterly, 87(2), 432–448. https://doi.org/10.1111/j.1540-6237.2006.00389.x
   Web of Science ®Google Scholar
• Health Council of the Netherlands. (2017). Physical activity guidelines 2017. Retrieved March 18, 2020, from https://www.healthcouncil.nl/documents/advisory-reports/2017/08/22/physical-activity-guidelines-2017.
   Google Scholar
• Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A. H., & Owen, N. (2011). Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. European Heart Journal, 32(5), 590–597. https://doi.org/10.1093/eurheartj/ehq451
   PubMed Web of Science ®Google Scholar
• Holmes, N. G., Wieman, C. E., & Bonn, D. A. (2015). Teaching critical thinking. Proceedings of the National Academy of Sciences of the United States of America, 112(36), 11199–11204. https://doi.org/10.1073/pnas.1505329112
   PubMed Web of Science ®Google Scholar
• Hunsaker, A., & Hargittai, E. (2018). A review of Internet use among older adults. New Media & Society, 20(10), 3937–3954.
   Web of Science ®Google Scholar
• Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The internet of things for health care: A comprehensive survey. IEEE Access, 3, 678–708. https://doi.org/10.1109/ACCESS.2015.2437951
   Web of Science ®Google Scholar
• Karvalics, L. Z. (2014). Emerging new information literacies – A conceptual outlook. In European Conference on Information Literacy (Vol. 492, pp. 37–46). Springer.
   Google Scholar
• Kumari, V., & Hook, S. A. (2017). The privacy, security and discoverability of data on wearable health devices: Fitness or folly? In International Conference on Universal Access in Human-Computer Interaction (Vol. 10279, pp. 50–64). Springer.
   Google Scholar
• Li, I., Dey, A., & Forlizzi, J. (2010). A stage-based model of personal informatics systems [Paper presentation]. SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA (pp. 557–566). https://doi.org/10.1145/1753326.1753409
   Google Scholar
• Lutz, C. (2019). Digital inequalities in the age of artificial intelligence and big data. Human Behavior and Emerging Technologies, 1(2), 141–148. https://doi.org/10.1002/hbe2.140
   Google Scholar
• Matthews, C. E., George, S. M., Moore, S. C., Bowles, H. R., Blair, A., Park, Y., Troiano, R. P., Hollenbeck, A., & Schatzkin, A. (2012). Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. The American Journal of Clinical Nutrition, 95(2), 437–445. https://doi.org/10.3945/ajcn.111.019620
   PubMed Web of Science ®Google Scholar
• Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks. 10(7), 1497–1516. https://doi.org/10.1016/j.adhoc.2012.02.016
   Web of Science ®Google Scholar
• O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
   Google Scholar
• Poirier, J., Bennett, W. L., Jerome, G. J., Shah, N. G., Lazo, M., Yeh, H.-C., Clark, J. M., & Cobb, N. K. (2016). Effectiveness of an activity tracker- and internet-based adaptive walking program for adults: A randomized controlled trial. Journal of Medical Internet Research, 18(2), e34. https://doi.org/10.2196/jmir.5295
   PubMed Web of Science ®Google Scholar
• Prado, J. C., & Marzal, M. Á. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123–134. https://doi.org/10.1515/libri-2013-0010
   Web of Science ®Google Scholar
• Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. (2014). Personal tracking as lived informatics [Paper presentation]. SIGCHI Conference on human factors in computing systems, Toronto, ON, Canada (pp. 1163–1172). https://doi.org/10.1145/2556288.2557039
   Google Scholar
• Scheerder, A., Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2017). Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide. Telematics and Informatics, 34(8), 1607–1624. https://doi.org/10.1016/j.tele.2017.07.007
   Web of Science ®Google Scholar
• Shilts, M. K., Horowitz, M., & Townsend, M. S. (2004). Goal setting as a strategy for dietary and physical activity behavior change: A review of the literature. American Journal of Health Promotion, 19(2), 81–93. https://doi.org/10.4278/0890-1171-19.2.81
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Van der Zeeuw, A., Van Deursen, A. J. A. M., & Jansen, G. (2020). How to apply IoT skills at home: Inequalities in cultural repertoires and its interdependency chains. Poetics, 83, 101486–101414. https://doi.org/10.1016/j.poetic.2020.101486
   Web of Science ®Google Scholar
• Van Deursen, A. J. A. M., Helsper, E. J., Eynon, R., & Van Dijk, J. A. G. M. (2017). The Compoundness and sequentiality of digital inequality. International Journal of Communication, 11, 452–473. https://ijoc.org/index.php/ijoc/article/view/5739/1911
   Web of Science ®Google Scholar
• Van Deursen, A. J. A. M., & Mossberger, K. (2018). Any thing for anyone? A new digital divide in internet-of-things skills. Policy & Internet, 10(2), 122–140. https://doi.org/10.1002/poi3.171
   Web of Science ®Google Scholar
• Van Deursen, A. J. A. M., Van der Zeeuw, A., De Boer, P., Jansen, G., & Van Rompay, T. (2021). Digital inequalities in the Internet of Things: differences in attitudes, material access, skills, and usage. Information, Communication & Society, 24(2), 258–276. https://doi.org/10.1080/1369118X.2019.1646777
   Web of Science ®Google Scholar
• Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2009). Using the Internet: Skill related problems in users’ online behavior. Interacting with Computers, 21(5–6), 393–402. https://doi.org/10.1016/j.intcom.2009.06.005
   Web of Science ®Google Scholar
• Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2015). Toward a Multifaceted Model of Internet Access for Understanding Digital Divides: An Empirical Investigation. The Information Society, 31(5), 379–391. https://doi.org/10.1080/01972243.2015.1069770
   Web of Science ®Google Scholar
• Van Dijk, J. A. G. M., & Van Deursen, A. J. A. M. (2014). Digital skills, unlocking the information society. Palgrave Macmillan.
   Google Scholar
• Wasserman, I. M., & Richmond-Abbott, M. (2005). Gender and the internet: Causes of variation in access, level, and scope of use. Social Science Quarterly, 86(1), 252–270. https://doi.org/10.1111/j.0038-4941.2005.00301.x
   Web of Science ®Google Scholar
• 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 [Paper presentation]. UbiComp 2015 – Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 623–634).
   Google Scholar