Mind the theoretical gap: Interpreting, using, and developing behavioral theory in HCI research

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2013, Pages 3307-3316

  Hekler, Eric B ^a   Klasnja, Predrag ^b   Froehlich, Jon E ^c   Buman, Matthew P ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Behavior change; Behavior change technologies; Behavioral science; Health; Persuasive technology; Sustainability; Theory

Indexed keywords

BEHAVIOR CHANGE; BEHAVIORAL SCIENCE; BEHAVIORAL THEORY; HCI RESEARCHES; PERSUASIVE TECHNOLOGY; SHARED UNDERSTANDING; THEORETICAL TERMS; THEORY;

HEALTH; HUMAN COMPUTER INTERACTION; HUMAN ENGINEERING; SOCIAL SCIENCES COMPUTING; SUSTAINABLE DEVELOPMENT; TECHNOLOGY;

RESEARCH;

EID: 84877951933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2470654.2466452     Document Type: Conference Paper

References (67)

1. Adams, M.A., Norman, G.J., Hovell, M.F., Sallis, J.F., Patrick, K. (2009). Reconceptualizing decisional balance in an adolescent sun protection intervention: Mediating effects and theoretical interpretations. Healt Psychol, 28, 217-225.
2. Ajzen, I. (1991). The theory of planned behavior, Organizat Behav Hum Dec Proc, 50, 179-211.
3. Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. J Appl Soc Psych, 32, 665-683
4. Balaam, M. et al. (2011). Motivating mobility: designing for lived motivation in stroke rehabilitation. CHI'11, 3073-3082.
5. Bandura, A.(1986). Social foundations of thought and action. Prentice Hall, Englewood Cliffs, NJ.
6. Bandura, A. (1997). Self-Efficacy-The Exercise of Control. Worth Publishers, Inc. New York, NY.
7. Bao, L. and Intille, S.S. (2004). Activity Recognition from User-Annotated Acceleration Data. Most, 1-17.
8. Becker, M. (1974). The health belief model and personal health behavior, J Healt Soc Behav, 18, 348-366.
9. Bond, R.M., et al. (2012). A 61-million-person experiment in social influence and political mobilization. Nature 489, 295-298.
10. Buman, M.P., Giacobbi, P.R., Yasova, L.D., and McCrae, C.S. (2009). Using the constructive narrative perspective to understand physical activity reasoning schema in sedentary adults. J Healt Psychol, 14, 1174-83.
11. Collins, L., Dziak, J., and Li, R. (2009). Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychol Meth, 14, 202-224.
12. Consolvo, S., Everitt, K., Smith, I., and Landay, J. (2006). Design requirements for technologies that encourage physical activity. CHI'06, 457-466.
13. Consolvo, S., Klasnja, P., McDonald, D.W., & Landay, J. (2009). Goal-setting considerations for persuasive technologies that encourage physical activity. Persuasive '09, Article 8, 8 pgs.
14. Consolvo, S., Klasnja, P., McDonald, D.W., et al. (2008). Flowers or a robot army ? Encouraging awareness & activity with personal, mobile displays. UbiComp'08, 54-63.
15. Consolvo, S., McDonald, D.W., and Landay, J. (2009) Theory-driven design strategies for technologies that support behavior change in everyday life. CHI'09, 405-414.
16. Consolvo, S., McDonald, D.W., et al. (2008). Activity sensing in the wild: A field trial of UbiFit garden. CHI'08, 1797-1806.
17. rd Ed. Sage, Thousand Oaks, CA.
18. Deci, E.L. and Ryan, R.M. (1985) Intrinsic motivation and self-determination in human behavior. Plenum, New York, NY.
19. Dervin, B. (1983). Sense-making theory and practice: An overview of user interests in knowledge seeking and use, J Know Manag, 36-46.
20. Dobson, D. and Cook, T. (1980) Avoiding type III error in program evaluation: Results from a field experiment. Eval Prog Plan, 269-276.
21. Dourish, P. (2010) HCI and environmental sustainability: the politics of design and the design of politics. DIS'10, 1-10.
22. Dunton, G., Intille, S., Beaudin, J., and Pentz, M.A. (2009). Pilot test of a real-time data capture protocol to assess children's exposure to and experience of physical activity contexts using mobile phones. Obes 17, S150-S151.
23. Eagle, N. and Pentland, A. (2006). Reality mining: sensing complex social systems. Pers Ubi Comp, 255-268.
24. Erickson, T. (2005). Five Lenses: Towards a Toolkit for Interaction Design. Theories and Practice in Interaction Design.
25. Fogg, B.J. (2002). Persuasive Technology: Using computers to change what we think and do. Ubiquity, December Issue, A-5.
26. Froehlich, J., Findlater, L., and Landay, J. (2010). The design of eco-feedback technology. CHI'10. 1999-2008.
27. Froehlich, J., Findlater, L., Ostergren, M. et al. (2012). The design and evaluation of prototype eco-feedback displays for fixture-level water usage data, CHI'12, 2367-2376.
28. Froehlich, J. (2011). Sensing and feedback of everyday activities to promote environmental behaviors, UMI, 3501869.
29. Gearing, R. and El-Bassel, N. (2011). Major ingredients of fidelity: A review and scientific guide to improving quality of intervention research implementation. Clin Psychol Rev, 79-88.
30. Glanz, K., Rimer, B., and US- N.C.I. (1995). Theory at a glance: A guide for health promotion practice. NIH-NCI.
31. Goffman, E. (2002). The presentation of self in everyday life.
32. Grimes, A., Bednar, M., Bolter, J.D., and Grinter, R.E. (2008). EatWell: Sharing nutrition-related memories in a low-income community, CSCW'08, 87-96.
33. Grimes, A. and Grinter, R. (2007). Designing persuasion: Health technology for low-income African American communities. Persuas Tech, 4744, 24-35.
34. He, H., Greenberg, S., and Huang, E. (2010). One size does not fit all: Applying the transtheoretical model to energy feedback technology design, CHI'10, 927-936.
35. Hekler, E.B., Buman, M.P., Otten, J., et al. (2012) Who responds better to a computer- vs. human-delivered physical activity intervention? Results from the community health advice by telephone (CHAT) trial. In Submission.
36. Hekler, E.B., Buman, M.P., Poothakandiyil, N., et al. (2012) Exploring behavioral markers of long-term physical activity maintenance: A case study of system identification modeling within a behavioral intervention. In Submission.
37. Hersen, M., and Barlow, D.H. (1976). Single-case experimental designs: Strategies for studying behavior change. Peramon, New York, NY.
38. Kim, T., Hong, H., and Magerko, B. (2010). Design requirements for ambient display that supports sustainable lifestyle. DIS'10, 103-112.
39. King, A.C., Sallis, J., Frank, L., et al., (2011). Aging in neighborhoods differing in walkability and income: Associations with physical activity and obesity in older adults. Soc Sci Med, 73, 1525-1533.
40. King, A.C., Hekler, E.B., Castro, C.M., et al. (2013). Exercise Advice by Humans versus Computers: Maintenance Effects at 18 Months. Healt Psychol.
41. King, A.C., Stokols, D., Talen, E., Brassington, G.S., and Killingsworth, R. (2002). Forging a Transdisciplinary Paradigm. Am J Prev Med 23, 15-25.
42. King, A.C., Toobert, D., et al. (2006). Perceived environments as physical activity correlates and moderators of intervention in five studies. Am J. Healt Prom, 21, 24-35.
43. Klasnja, P., Consolvo, S., and Pratt, W. (2011). How to evaluate technologies for health behavior change in HCI research. CHI'11,3063-3072.
44. Kraemer, H.C. and Kiernan, M., Essex, M., and Kupfer, D.J. (2008). How and why criteria defining moderators and mediators differ between the Baron & Kenny and MacArthur approaches. Healt Psychol, 27, S101-S108.
45. Lee, M., Kiesler, S., and Forlizzi, J. (2011). Mining behavioral economics to design persuasive technology for healthy choices. CHI'11, 325-334.
46. Lin, J., Mamykina, L., and Lindtner, S. (2006). Fish'n'Steps: Encouraging physical activity with an interactive computer game. UbiComp'06, 261-278.
47. Locke, E. and Latham, G. (1990). A theory of goal setting & task performance, Prentice Hall, Englewood Cliff, NJ USA.
48. Maguire, M. (2001). Methods to support human-centered design. Intern J Hum Comp Stud, 55, 587-634.
49. Mamykina, L. and Mynatt, E. (2008). MAHI: investigation of social scaffolding for reflective thinking in diabetes management. CHI'08, 477-486.
50. Chetty, M., Tran, D. and Grinter, R.E. (2008). Getting to green: Understanding resource consumption in the home. UbiComp '08, 242-251.
51. Michie, S. Ashford, S., Sniehotta, F.F., et al., (2011). A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychol Healt, 26, 1479-1498.
52. Miluzzo, E., Lane, N., Fodor, K., et al. (2008). Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application, SenSys'08, 337-350.
53. Morin, C. and Bootzin, R. (2006). Psychological and behavioral treatment of insomnia: Update of the recent evidence (1998-2004). SLEEP, 29, 1398-1414.
54. Moyers, T.B., Martin, T., Manual, J.K., et al. (2005) Assessing competence in the use of motivational intervention. J Sub Abuse Treat, 28, 19-26.
55. Nickerson, R. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Rev Gen Psychol, 2, 175-220.
56. Nigg, C., Allegrante, J., and Ory, M. (2002). Theory-comparison and multiple-behavior research: Common themes advancing health behavior research. Healt Educ Res, 17, 670-679.
57. Ogden, J. (2003). Some problems with social cognition models: a pragmatic and conceptual analysis. Healt Psychol, 22, 424-428.
58. Prochaska, J., Wright, J., and Velicer, W. (2008). Evaluating theories of health behavior change: A hierarchy of criteria applied to the transtheoretical model. Appl Psychol, 57, 561-588.
59. Prochaska, J.O. and DiClemente, C.C. (1983). Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 51, 390-395.
60. Purpura, S., Schwanda, V., Williams, K., et al. (2011). Fit4Life: The design of a persuasive technology promoting healthy behavior and ideal weight. CHI'11, 423-432.
61. Riley, W.T., Rivera, D.E., Atienza, A. et al. (2011). Health behavior models in the age of mobile interventions: Are our theories up to the task? Trans Behav Med 1, 53-71.
62. Rovniak, L.S., Hovell, M.F., and Wojcik, J.R. (2005). Enhancing theoretical fidelity: an email-based walking program demonstration. Am J Healt Prom, 20, 85-95.
63. Sallis, J.F. and Owen, N. (1997). Ecological models. In K. Glanz, et al. eds., Health behavior and health education: Theory, research, and practice. Jossey Bass, San Francisco, 403-424.
64. Sallis, J.F., Saelens, B.E., Frank, L.D., et al. (2009). Neighborhood built environment and income: examining multiple health outcomes. Social Sci Med, 68, 1285-1293.
65. Shove, E. (2010). Beyond the ABC: Climate change policies and theories in social change. Environ and Plan, A, 42(6), 1273.
66. Velicer, W.F. and Prochaska, J.O. (2008). Stage and non-stage theories of behavior and behavior change: A comment on Schwarzer. Appl Psychol Interna Rev 57, 75-83.
67. Behavior Change Techniques Taxonomy. http://www.ucl.ac.uk/ healthpsychology/BCTtaxonomy/index.php.