The ABCs of Designing Social Networks for Health Behaviour Change: The VivoSpace Social Network

  • Noreen Kamal
  • Sidney Fels
  • Mike Blackstock
  • Kendall Ho
Chapter
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 18)

Abstract

This chapter presents the Appeal, Belonging, Commitment (ABC) conceptual framework, which describes how online social networks can be designed to motivate positive health behaviour change. The ABC Framework is based on the existing theoretical models that describe the determinants for motivating the use of online social networks and health behaviour change. Common themes are drawn from these theoretical models and combined to provide the determinants for the three emergent themes: Appeal (individual determinants), Belonging (social determinants) and Commitment (temporal determinants). Results from a questionnaire survey and interviews are presented to validate and iterate the ABC Framework. Based on these themes and their determinants, design suggestions are presented. A case study implementation of the ABC Framework is shown through the design of VivoSpace. The design strategies are interpreted to design the online social health system, VivoSpace, and the ABC Framework is used to evaluate the design. This case study shows that the ABC Framework provides the best methodology to design and evaluate an online social network that will lead to a committed user base and motivate health behaviour change.

Keywords

Health Behaviour Design Strategy Online Social Network Health Behaviour Change Healthy Living 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to thank the Vancouver Aboriginal Friendship Centre Society for providing access to their First Nation staff and clients. The authors are also grateful to the Canadian Network of Centres of Excellence on Graphics, Animation and New Media (GRAND NCE) for funding this research. We thank everyone at the Media and Graphics Interdisciplinary Centre (MAGIC), where this research was conducted.

References

  1. 1.
    Ajzen, I (1991) The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179–211CrossRefGoogle Scholar
  2. 2.
    Ajzen, I and Fishbein, M (1977) Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychological Bulletin, 84, 5, 888–918CrossRefGoogle Scholar
  3. 3.
    Allen, NJ and Meyer, JP (1990) The measurement and antecedents of affective, continuance and normative commitment to the organization. J Occup Psychol, 63, 1–18CrossRefGoogle Scholar
  4. 4.
    Ardito, C, Buono, P, Costabile, MF, and Lanzilotti, R (2006) Two different interfaces to visualize patient histories on a PDA. In Proc. MobileHCI 2006, vol. 159., 37–40CrossRefGoogle Scholar
  5. 5.
    Bandura, A (2004) Health promotion through social cognitive means. Health and Edu Behavior. 31, 2 143–164CrossRefGoogle Scholar
  6. 6.
    Bernstein, M, Van Kleek, M, Karger, D, and Schraefel, MC (2008) Information scraps: How and why information eludes our personal information management tools. ACM Trans. Inf. Syst. 26, 4, 1–46CrossRefGoogle Scholar
  7. 7.
    Bodenheimer, T, Lorig, K, Holman, H, and Grumbach, K. (2002) Patient self-management of chronic disease in primary care. J Am Med Assoc, 288(19)Google Scholar
  8. 8.
    Christakis, NA and Fowler, JH (2009) Connected: How your friends’ friends’ friends affect everything your feel, think, and do. Black Bay Books, NewYorkGoogle Scholar
  9. 9.
    Christakis, NA and Fowler, JH (2007) The Spread of Obesity in a Large Social Network over 32 Years. N Engl J Med 357:370–379CrossRefGoogle Scholar
  10. 10.
    Consolvo, S, Everitt, K, Smith, I and Landay, JA (2006) Design requirements for technologies that encourage physical activity. In Proc. CHI 2006, 457–466Google Scholar
  11. 11.
    Consolvo, S, Klasnja, P, McDonald, DW and Landay, JA (2009) Goal-setting considerations for persuasive technologies that encourage physical activity. In Proc. Persuasive 2009, 8:1–8:8Google Scholar
  12. 12.
    Consolvo, S, McDonald, DW, and Landay, JA (2009) Theory-driven design strategies for technologies that support behavior change in everyday life. In Proc. CHI 2009, 405–414Google Scholar
  13. 13.
    Dubberly,H., Mehta, R., Evenson, S. and Pangaro, P.(2010) Reframing health to embrace design of our own well-being. Interactions, May, Issue 3, 56–63.Google Scholar
  14. 14.
    Dai, L, Lutters, WG, and Bower, C (2005) Why use memo for all?: restructuring mobile applications to support informal note taking. In Proc. CHI 2005. 1320–1323.Google Scholar
  15. 15.
    Dholakia, UM, Bagozzi, RP, and Pearo, LK (2004) A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing, 2, 241–263CrossRefGoogle Scholar
  16. 16.
    European Food Information Council (2011) Your guide to food safety and quality and health and nutrition for a balanced diet and healthy lifestyle. http://www.eufic.org/.Cited17Jul2011.
  17. 17.
    Fogg, BJ and Eckles, D (2007) The behavior chain for online participation: how successful web services structure persuasion. Persuasive Technology, LNCS 4744, Springer, 199–209Google Scholar
  18. 18.
    Fisher, EB, Brownson, CA, OToole, ML, Shetty, G, Anwauri, VV, and Glasgow, RE, (2005), Ecological Approaches to Self-Management: The Case of Diabetes. Am J Public Health, September 2005, Volume 95, No. 9. 1523–1535.Google Scholar
  19. 19.
    Health Canada (2011) Eating Well with Canada’s Food Guide. http://www.hc-sc.gc.ca/fn-an/food-guide-aliment/index-eng.php.Cited17Jul2011.
  20. 20.
    Janz, NK and Becker, MH (1984) The Health Belief Model: A Decade Later. Health Education Behavior, 11, 1, 1–47CrossRefGoogle Scholar
  21. 21.
    Joinson, AN (2008) Looking at, looking up or keeping up with people?: motives and use of facebook. In Proc. CHI 2008,1027–1036Google Scholar
  22. 22.
    Kamal, N, Fels, S, Blackstock, M, and Ho, K (2011) VivoSpace: Towards Behavior Change Using Social Gaming. ICEC 2011, LNCS 6972, 319–330.Google Scholar
  23. 23.
    Kamal, N, Fels, S, and Ho, K (2010) Online social networks for personal informatics to promote positive health behavior. In Proc. WSM 2010, 47- 52CrossRefGoogle Scholar
  24. 24.
    Klasnja, P, Civan Hartzler, A, Unruh, KT, and Pratt, W (2010) Blowing in the wind: unanchored patient information work during cancer care. In Proc. CHI 2010. 193–202Google Scholar
  25. 25.
    Lampe, C, Wash, R, Velasquez, A, and Ozkaya, E (2010) Motivations to participate in online communities. In Proc. CHI 2010, 1927–1936Google Scholar
  26. 26.
    Lee, KL, Kiesler, S and Forlizzi, J (2011) Mining behavioral economics to design persuasive technology for healthy choices. In Proc. CHI 201 325- 334Google Scholar
  27. 27.
    Leventhal, H, Diefenbach, M, and Leventhal, EA (1992) Illness cognition: Using common sense to understand treatment adherence and affect cognition interactions. Cognitive Therapy and Research. 16, 143–163CrossRefGoogle Scholar
  28. 28.
    Li, I, Dey, A, and Forlizzi, J (2010) A stage-based model of personal informatics systems. In Proc. CHI 2010. 557–566Google Scholar
  29. 29.
    Mamykina, L, Mynatt, ED, Davidson, PR and Greenbalt, D (2008) MAHI: Investigation of Social Scaffolding for Reflective Thinking in Diabetes Management. In Proc. CHI 2008, 477–486Google Scholar
  30. 30.
    Martin, A. Trends in Video Games and Gaming (2011) ITU-T Technology Watch Report, September, 2011, 28 pages. http://www.itu.int/ITU-??T/techwatch.
  31. 31.
    Morris, ME, Consolvo, S, Munson, S, Patrick, K, Tsai, J, and Kramer, ADI (2011) Facebook for health: opportunities and challenges for driving behavior change. Ext. Abstracts CHI 2011, 443–446Google Scholar
  32. 32.
    Newman, MW, Lauterbach, D, Munson, SA, Resnick, P and Morris, ME (2011) It’s not that I don’t have problems, I’m just not putting them on facebook: challenges and opportunities in using online social networks for health. In Proc. CSCW 2011, 341–350Google Scholar
  33. 33.
    Papacharissi, Z and Rubin, AM (2000) Predictors of internet use. Journal of Broadcasting and Electronic Media, 44(2), 175–196CrossRefGoogle Scholar
  34. 34.
    Plaisant, C, Milash, B, Rose, A, Widoff, S, and Shneiderman, B (1996) LifeLines: visualizing personal histories. In Proc. CHI 1996. 221- 227Google Scholar
  35. 35.
    Pratt, W, Unruh, K, Civan, A, and Skeels, MM (2006) Personal health information management. Commun. ACM 49, 1, 51–55CrossRefGoogle Scholar
  36. 36.
    Prochaska, JO, and Velicer, WF (1997) The transtheoretical model of health behavior change. American Journal of Health Promotion, 12(1), 38–48CrossRefGoogle Scholar
  37. 37.
    Ren, Y, Kraut, R, and Kiesler, S (2007) Applying common identity and bond theory to design of online communities. Organizational Studies, 28, 3, 377–408CrossRefGoogle Scholar
  38. 38.
    Rogers, E. M. (1983). Diffusion of Innovations. 3rd Edition, The Free Press, a division of Simon and Schuster Inc., New York, NYGoogle Scholar
  39. 39.
    Rosenstock, IM, Victor, JS, and Brecker, MH (1988) Social learning theory and the health belief model. Health Education Behavior, 15, 175, 175–183CrossRefGoogle Scholar
  40. 40.
    Ruggiero, TE (2000) Uses and gratification theory in the 21st century. Mass Communication and Society, 3(1). 3–37CrossRefGoogle Scholar
  41. 41.
    Sheppard, BH, Hartwick, J, and Warshaw, PR (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), 325–343CrossRefGoogle Scholar
  42. 42.
    Strauss, A, Fagerhaugh, S, Suczek, B and Wiener, C (1985) Social Organization of Medical Work. The University of Chicago Press.Google Scholar
  43. 43.
    Tajfel, H (1974) Social identity and intergroup behaviour. Social Science Information, 13(2). 65–93CrossRefGoogle Scholar
  44. 44.
    United States Department of Agriculture (2011) Food and Nutrition Information Center. http://www.nutrition.gov.Cited17Jul2011.
  45. 45.
    Valente, TW (1996) Social network thresholds in the diffusion of innovation. Social Networks, 18(1996), 69–89CrossRefGoogle Scholar
  46. 46.
    Wagner, E.H, and Groves, T (2002). Care for chronic diseases. Br Med J, 325(7370), 913–914CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Noreen Kamal
    • 1
  • Sidney Fels
    • 1
  • Mike Blackstock
    • 1
  • Kendall Ho
    • 1
  1. 1.University of British ColumbiaVancouverCanada

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