Author(s):

  • Noreen Kamal
  • Sidney Fels
  • Kendall Ho

Abstract:

Social network services are becoming increasingly popular, and people are using these networks to obtain and share information. The application of social network and social media to the collection, storage and review of personal information presents opportunities for improved personal health management. This paper presents a survey of the literature on the models for the use of online social networks and models for health behavior change. These are then combined to present a framework for health behavior change through social media. This framework is then used to develop a prototype for the system design.

Documentation:

https://doi.org/10.1145/1878151.1878167

References:
  1. Ajzen, I. & Fishbein, M. (1977). Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.
  2. Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance and normative commitment to the organization. J Occup Psychol, (63). 1–18.
  3. Ardito, C., Buono, P., Costabile, M. F., and Lanzilotti, R. 2006. Two different interfaces to visualize patient histories on a PDA. In Proceedings of the 8th Conference on Human-Computer interaction with Mobile Devices and Services (Helsinki, Finland, September 12 – 15, 2006). MobileHCI ’06, vol. 159., 37–40. DOI= http://doi.acm.org/10.1145/1152215.1152223.
  4. Bernstein, M., Van Kleek, M., Karger, D., and Schraefel, M. C. 2008. Information scraps: How and why information eludes our personal information management tools. ACM Trans. Inf. Syst. 26, 4 (Sep. 2008), 1–46. DOI= http://doi.acm.org/10.1145/1402256.1402263.
  5. Bodenheimer, T., Lorig, K., Holman, H., & Grumbach, K. (2002). Patient self-management of chronic disease in primary care. JAMA, 288(19), 2469–2475. DOI= http://dx.doi.org/10.1001/jama.288.19.2469.
  6. Dai, L., Lutters, W. G., and Bower, C. 2005. Why use memo for all?: restructuring mobile applications to support informal note taking. In CHI ’05 Extended Abstracts on Human Factors in Computing Systems (Portland, OR, USA, Apr 02 – 07, 2005). CHI ’05. 1320–1323. DOI= http://doi.acm.org/10.1145/1056808.1056906.
  7. Dearman, D., Kellar, M., and Truong, K. N. 2008. An examination of daily information needs and sharing opportunities. In Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (San Diego, CA, USA, November 08 – 12, 2008). CSCW ’08. 679–688. DOI= http://doi.acm.org/10.1145/1460563.1460668.
  8. Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer participation in network- and small-group-based virtual communities. Internet Journal of Research in Marketing, 21(2004), 241–263. DOI= http://dx.doi.org/10.1016/j.ijresmar.2003.12.004.
  9. Facebook Statistics, http://www.facebook.com/press/info.php?statistics. Accessed on April 26, 2010.
  10. Frost, J. H., & Massagli, M. P. 2008. Social uses of personal health information within PatientsLikeMe, and online patient community: what can happen when patients have access to one another’s data. JMIR, 10(3):e15.
  11. Gemmell, J., Bell, G., and Lueder, R. 2006. MyLifeBits: a personal database for everything. Commun. ACM 49, 1 (Jan. 2006), 88–95. DOI= http://doi.acm.org/10.1145/1107458.1107460.
  12. Janz, N. K. & Becker, M. H. (1984). The Health Belief Model: A Decade Later. Health Education Behavior, 11(1), 1–47. DOI= http://dx.doi.org/10.1177/109019818401100101.
  13. Klasnja, P., Civan Hartzler, A., Unruh, K. T., and Pratt, W. 2010. Blowing in the wind: unanchored patient information work during cancer care. In Proceedings of the 28th international Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA, April 10 – 15, 2010). CHI ’10. 193–202. DOI= http://doi.acm.org/10.1145/1753326.1753355.
  14. Lampe, C., Wash, R., Velasquez, A., and Ozkaya, E. 2010. Motivations to participate in online communities. In Proceedings of the 28th international Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA, April 10 – 15, 2010). CHI ’10. 1927–1936. DOI= http://doi.acm.org/10.1145/1753326.1753616.
  15. Li, I., Dey, A., and Forlizzi, J. 2010. A stage-based model of personal informatics systems. In Proceedings of the 28th international Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA, April 10 – 15, 2010). CHI ’10. 557–566. DOI= http://doi.acm.org/10.1145/1753326.1753409.
  16. Maloney-Krichmar, D. and Preece, J. 2005. A multilevel analysis of sociability, usability, and community dynamics in an online health community. ACM Trans. Comput.-Hum. Interact. 12, 2 (Jun. 2005), 201–232. DOI= http://doi.acm.org/10.1145/1067860.1067864.
  17. O’Reilly, T. 2007. What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. Communications and Strategies, No. 1, p. 17.
  18. Papacharissi, Z. & Rubin, A. M. (2000). Predictors of internet use. Journal of Broadcasting & Electronic Media, 44(2). 175–196. DOI= http://dx.doi.org/10.1207/s15506878jobem4402_2.
  19. Plaisant, C., Milash, B., Rose, A., Widoff, S., and Shneiderman, B. 1996. LifeLines: visualizing personal histories. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Common Ground (Vancouver, British Columbia, Canada, April 13 – 18, 1996). M. J. Tauber, Ed. CHI ’96. 221–227. DOI= http://doi.acm.org/10.1145/238386.238493.
  20. Pratt, W., Unruh, K., Civan, A., and Skeels, M. M. 2006. Personal health information management. Commun. ACM 49, 1 (Jan. 2006), 51–55. DOI= http://doi.acm.org/10.1145/1107458.1107490.
  21. Preacey, P. & Draper, P. (1996). Using the diffusion of innovation model to influence practice: a case study. Journal of Advanced Nursing, 1996, 23, 714–721. DOI= http://dx.doi.org/10.1111/j.1365-2648.1996.tb00042.x.
  22. Preece, J. Online Communities – Designing Usability, Supporting Sociability, John Wiley & Sons, 2000, ISBN 0-471-80599-8, 424 pages
  23. Prochaska, J. O., & Velicer, W. F. (1997). The transtheoretical model of health behavior change. American Journal of Health Promotion, 12(1), 38–48.
  24. Ren, Y., Kraut, R., & Kiesler, S. (2007). Applying common identity and bond theory to design of online communities. Organizational Studies, 28(3). 377–408. DOI= http://dx.doi.org/10.1177/0170840607076007.
  25. Rogers, E. M. (1983). Diffusion of Innovation. 3rd Edition, The Free Press, a division of Simon & Schuster Inc., New York, NY.
  26. Rosenstock, I. M., Victor, J. S., & Brecker, M. H. (1988). Social learning theory and the health belief model. Health Education Behavior, 15(175), 175–183. DOI= http://dx.doi.org/10.1177/109019818801500203.
  27. Ruggiero, T. E. (2000). Uses and gratification theory in the 21st century. Mass Communication and Society, 3(1). 3–37. DOI: http://dx.doi.org/10.1207/S15327825MCS0301_02.
  28. Sheppard, B. H, Hartwick, J., and Warshaw, P. R. (1988). The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. The Journal of Consumer Research, 15(3), 325–343.
  29. Tajfel, H. (1974). Social identity and intergroup behaviour. Social Science Information, 13(2). 65–93. DOI= http://dx.doi.org/10.1177/053901847401300204.
  30. Valente, T. W. (1996). Social network thresholds in the diffusion of innovation. Social Networks, 18(1996), 69–89. DOI= http://dx.doi.org/10.1016/0378-8733(95)00256-1.
  31. Vossen, G., & Hagemann, S. (2007). Unleashing web 2.0: from concepts to creativity. Morgan Kaufmann Publishers, 2007, ISBN 978-0-12-374034-2, 353 pages.