Loading [a11y]/accessibility-menu.js
“Technology isn’t Always the Best”: The Intersection of Health Tracking Technologies and Information Practices of Digital Natives | IEEE Conference Publication | IEEE Xplore

“Technology isn’t Always the Best”: The Intersection of Health Tracking Technologies and Information Practices of Digital Natives


Abstract:

Some believe that today's young and tech-savvy generation will eagerly adopt the latest health tracking technologies. However, we know little about the tracking practices...Show More

Abstract:

Some believe that today's young and tech-savvy generation will eagerly adopt the latest health tracking technologies. However, we know little about the tracking practices of young adults, and in particular how they use technologies to journal their daily fitness activities and diet. Drawing from practice theory, this study uses Savolainen's concept of information practice to examine the life contexts of users (e.g., personal goals and habits) that influence the use of health tracking technologies. Through interviews with thirteen college students, we identify the information practices that young adults perform to track their health and diet, outlining how different information practices exhibit different levels of reliance on technology. Life contexts may help explain why our young adults preferred "traditional" technologies like paper for some information practices. Further we suggest that the design of future health-tracking technologies need to holistically consider the interwoven nature of information practices, life contexts, and tracking technologies.
Date of Conference: 04-07 October 2016
Date Added to IEEE Xplore: 08 December 2016
ISBN Information:
Conference Location: Chicago, IL, USA
References is not available for this document.

Select All
1.
Soreon Research “Smart Wearable Healthcare Report 2014 ”, Soreon Research Report, 2014. Extract available at: http://www.soreonresearch.com/wearable-healthcare-report-2014/. June 19, 2015.
2.
Dingli A., and Seychell D. The new digital natives: Cutting the chord. Springer 2015.
3.
Tilvawala K., Myers M. D., and Sundaram D. “Design Of Ubiquitous Information Systems For Digital Natives.” In PACIS, p. 192. 2011.
4.
Shenolikar S., “How Technology is Shaping Careers in Medicine” by Real Business, Available at: URL: http://www.realbusiness.com/2015/0l/healthcare/how-technology-is-shaping-careers-in-medicine/, June 19, 2015.
5.
Khalaf S., “Health and fitness apps finally take off, fueled by fitness fanatics ”, from http://www.flurry.com/blog/flurry-insights/health-and-fitness-apps-finally-take-fueled-fitness-fanatics#.VAsnrfldUrU, September 6, 2014.
6.
Fausset C. B., Mitzner T. L., Price C. E., Jones B. D., Fain B. W., and Rogers W. A. “Older adults use of and attitudes toward activity monitoring technologies.” In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 57, no. 1, pp. 1683–1687. SAGE Publications, 2013.
7.
Lazar A., Koehler C., Tanenbaum J., and Nguyen D. H. “Why we use and abandon smart devices.” in Proceedings of the 2015 ACM InternationalJoint Conference on Pervasive and Ubiquitous Computing, pp. 635–646. ACM, 2015.
8.
Shih P. C., Han K., Poole E. S., Rosson M. B., and Carroll J. M. “Use and adoption challenges of wearable activity trackers.” iConference 2015 Proceedings ( 2015 ).
9.
Gronvall E., and Verdezoto N. “Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology.” In Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pp. 587–596. ACM, 2013.
10.
Savolainen R., Everyday information practices: a social phenomenological perspective. Scarecrow Press, 2008.
11.
Jarrahi M.H., “Digital and physical materiality of information technologies: the case of fitbit activity tracking devices.” in System Sciences (HICSS), 2015 48th Hawaii International Conference on, pp. 1768–1777. IEEE, 2015.
12.
Choe E.K., Lee N. B., Lee B., Pratt W., and Kientz J. A. “Understanding quantified-selfers practices in collecting and exploring personal data.” in Proceedings of the 32nd annual ACM conference on Human factors in computing systems, pp. 1143–1152. ACM, 2014.
13.
Consolvo S., McDonald S.D. W., Toscos T., Chen M. Y., Froehlich J., Harrison B., Klasnja P. “Activity sensing in the wild: a field trial of ubifit garden.” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1797–1806. ACM, 2008.
14.
Fritz T., Huang E. M., Murphy G. C., and Zimmermann T. “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, pp. 487–496. ACM, 2014
15.
Nylander S., Tholander J., Mueller F., and Marshall J. “HCI and sports.” in CHI14 Extended Abstracts on Human Factors in Computing Systems, pp. 115–118. ACM, 2014.
16.
Dalgaard L. G., Gronvall E., and Verdezoto N. “MediFrame: A Tablet Application to Plan, Inform, Remind and Sustain Older Adults Medication Intake.” in Healthcare Informatics (ICHI), 2013 IEEE International Conference on, pp. 36–45. IEEE, 2013.
17.
Munson S. A., and Consolvo S. “Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity.” Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012 6th InternationalConference on. IEEE, 2012.
18.
Ahtinen A., Ramiah S., Blom J., and Isomursu M., “Design of mobile wellness applications: identifying cross-cultural factors.” in Proceedings of the 20th Australasian Conference on Computer-Human Interaction Designing for Habitus and Habitat, pp. 164–171. ACM, 2008.
19.
Asselin R., Ortiz G., Pui J., Smailagic A., and Kissling C., “Implementation and evaluation of the personal wellness coach.” in Distributed Computing Systems Workshops, 2005. 25th IEEE International Conference on, pp. 529–535. IEEE, 2005.
20.
De Oliveira R., and Oliver N. “TripleBeat: enhancing exercise performance with persuasion.” in Proceedings of the 10 th internationalconference on Human computer interaction with mobile devices and services, pp. 255–264. ACM, 2008.
21.
Rooksby J., Rost M., Morrison A., and Chalmers Chalmers M. “Personal tracking as lived informatics.” in Proceedings of the 32nd annual ACM conference on Human factors in computing systems, pp. 1163–1172. ACM, 2014.
22.
Bentley F., Frank, Tollmar K., Stephenson P., Levy L., Jones B., Robertson S., Price E., Catrambone R., and Wilson J., “Health Mashups: Presenting statistical patterns between wellbeing data and context in natural language to promote behavior change.” ACM Transactions on Computer-Human Interaction(TOCHI) 20, no. 5 ( 2013 ): 30.
23.
Gittleson K. “Can Nikes Fuelband really motivate you to exercise? ”, Retrieved from http://www.bbc.co.uklnews/technology-24543910, October 16, 2013, 13 June 2014.
24.
Postill J., “Introduction: Theorising media and practice.” Theorising media and practice ( 2010 ): 1–32.
25.
Feldman M. S., and Orlikowski W. J. “Theorizing practice and practicing theory.” Organization Science 22.5 ( 2011 ): 1240–1253.
26.
Shove E., and Pantzar M. “Consumers, Producers and Practices Understanding the invention and reinvention of Nordic walking.” Journal of consumer culture 5.1 ( 2005 ): 43–64.
27.
Strengers Y. A.A., “Designing eco-feedback systems for everyday life.” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2011.
28.
Talja S. “Information sharing in academic communities: Types and levels of collaboration in information seeking and use.” New Review of Information Behavior Research 3.1 ( 2002 ): 143–159.
29.
Talja S., and Hansen P. “Information sharing.” New directions in human information behavior. Springer Netherlands 2006. 113–134.
30.
Hartel J. Information activities and resources in an episode of gourmet cooking. Information Research 12 ( 1 ), http://informationr.net/ir/12-l/paper282.html (2006, accessed May 2015).

Contact IEEE to Subscribe

References

References is not available for this document.