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Managing Depression through a Behavior Change Support System without Face-to-Face Therapy

  • Sitwat Langrial
  • Harri Oinas-Kukkonen
  • Päivi Lappalainen
  • Raimo Lappalainen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8462)

Abstract

We present results from a study that examines impact of persuasive reminders and virtual rehearsal on the effectiveness of a Behavior Change Support System. Good Life Compass is a web-based BCSS aimed at supporting people with mild to moderate depression without face-to-face therapy. The content of virtual rehearsal were drawn from Acceptance and Commitment Therapy. Eligible participants were randomized into an intervention study and a control (wait-list) group. In this paper, both groups shall be reported as intervention group 1 and 2 respectively. For data collection, we employed semi-structured questionnaires and post-study interviews. As a result, participants acknowledged persuasive reminders as being helpful in completing weekly tasks and virtual rehearsal as an effective technique for learning new behaviors.

Keywords

Behavior Change Support Systems Acceptance and Commitment Therapy persuasive reminders virtual rehearsal 

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References

  1. 1.
    Aromaa, E., Tolvanen, A., Tuulari, J., Wahlbeck, K.: Personal stigma and use of mental health services among people with depression in a general population in Finland. BMC Psychiatry 11(1), 52 (2011)CrossRefGoogle Scholar
  2. 2.
    Consolvo, S., Klasnja, P., McDonald, D.W., Landay, J.A.: Goal-setting considerations for persuasive technologies that encourage physical activity. In: Proceedings of the 4th International Conference on Persuasive Technology, p. 8. ACM (2009)Google Scholar
  3. 3.
    Oinas-Kukkonen, H., Harjumaa, M.: Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems 24, Article 28, 485–500 (2009)Google Scholar
  4. 4.
    Andersson, G., Cuijpers, P.: Internet-based and other computerized psychological treatments for adult depression: a Meta-analysis. Cog. Behav. Ther. 38(4), 196–205 (2009)CrossRefGoogle Scholar
  5. 5.
    Hayes, S.C., Luoma, J.B., Bond, F.W., Masuda, A., Lilles, J.: Acceptance and Commitment Therapy: Model, Processes and Outcomes. Behavioral Research and Therapy 44, 1–25 (2005)CrossRefGoogle Scholar
  6. 6.
    Consolvo, S., McDonald, D.W., Landay, J.A.: Theory-driven design strategies for technologies that support behavior change in everyday life. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 405–414. ACM (2009)Google Scholar
  7. 7.
    Thorpe, G.L., Hecker, J.E., Cavallaro, L.A., Kulberg, G.E.: Insight Versus Rehearsal in Cognitive-Behavior Therapy: A Crossover Study with Sixteen Phobics. Behavioural Psychotherapy 15(4), 319–336 (1987)CrossRefGoogle Scholar
  8. 8.
    Oinas-Kukkonen, H.: A foundation for the study of behavior change support systems. Personal and Ubiquitous Computing 17(6), 1223–1235 (2013)CrossRefGoogle Scholar
  9. 9.
    Fogg, B.J.: Persuasive technology: using computers to change what we think and do. Ubiquity, 5 (December 2002)Google Scholar
  10. 10.
    Fry, J.P., Neff, R.A.: Periodic Prompts and Reminders in Health Promotion and Health Behavior Interventions: Systematic Review. Journal of Medical Internet Research 11(2), e16 (2009)Google Scholar
  11. 11.
    Haynes, S.N., O’Brien, W., Kaholokula, J.: Behavioral assessment and case formulation. Wiley. com (2011)Google Scholar
  12. 12.
    Lappalainen, R., Lehtonen, T., Skarp, E., Taubert, E., Ojanen, M., Hayes, S.C.: The Impact of CBT and ACT Models Using Psychology Trainee Therapists A Preliminary Controlled Effectiveness Trial. Behavior Modification 31(4), 488–511 (2007)CrossRefGoogle Scholar
  13. 13.
    Beck, A.T., Ward, C., Mendelson, M.: Beck depression inventory (BDI). Arch. Gen. Psychiatry 4(6), 561–571 (1961)CrossRefGoogle Scholar
  14. 14.
    Sjögren-Rönkä, T., Ojanen, M.T., Leskinen, E.K., Mustalampi, S.T., Mälkiä, E.A.: Physical and psychosocial prerequisites of functioning in relation to work ability and general subjective well-being among office workers. Scandinavian Journal of Work, Environment & Health, 184–190 (2002)Google Scholar
  15. 15.
    Kelders, S.M., et al.: Persuasive system design does matter: a systematic review of adherence to web-based interventions. Journal of Medical Internet Research 14(6) (2012)Google Scholar
  16. 16.
    Bandura, A., Adams, N.E.: Analysis of self-efficacy theory of behavioral change. Cognitive Therapy and Research 1(4), 287–310 (1977)CrossRefGoogle Scholar
  17. 17.
    Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Information & Management 40(3), 191–204 (2003)CrossRefGoogle Scholar
  18. 18.
    Arroyo, E., Bonanni, L., Selker, T.: Waterbot: exploring feedback and persuasive techniques at the sink. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 631–639. ACM (April 2005)Google Scholar
  19. 19.
    Williams, A., Manias, E., Walker, R.: Interventions to improve medication adherence in people with multiple chronic conditions: a systematic review. Journal of Advanced Nursing 63(2), 132–143 (2008)CrossRefGoogle Scholar
  20. 20.
    Delone, W.H.: The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems 19(4), 9–30 (2003)Google Scholar
  21. 21.
    Bickmore, T.W., Mauer, D., Crespo, F., Brown, T.: Persuasion, task interruption and health regimen adherence. In: de Kort, Y.A.W., IJsselsteijn, W.A., Midden, C., Eggen, B., Fogg, B.J. (eds.) PERSUASIVE 2007. LNCS, vol. 4744, pp. 1–11. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  22. 22.
    Segal, D.L., Coolidge, F.L., Cahill, B.S., O’Riley, A.A.: Psychometric properties of the Beck Depression Inventory—II (BDI-II) among community-dwelling older adults. Behavior Modification 32(1), 3–20 (2008)CrossRefGoogle Scholar
  23. 23.
    Miles, M.B., Huberman, A.M.: Qualitative data analysis: An expanded sourcebook. Sage (1994)Google Scholar
  24. 24.
    Warmerdam, L., van Straten, A., Twisk, J., Riper, H., Cuijpers, P.: Internet-based treatment for adults with depressive symptoms: randomized controlled trial. Journal of Medical Internet Research 10(4) (2008)Google Scholar
  25. 25.
    Beck, J.S.: Cognitive behavior therapy: Basics and beyond. Guilford Press (2011)Google Scholar
  26. 26.
    Tørning, K., Oinas-Kukkonen, H.: Persuasive System Design: State of Art and Future Directions. In: Proceedings of the Fourth International Conference on Persuasive Technology, Claremont, CA, USA, April 26-29. ACM International Conference Proceeding Series, vol. 350 (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sitwat Langrial
    • 1
  • Harri Oinas-Kukkonen
    • 1
  • Päivi Lappalainen
    • 2
  • Raimo Lappalainen
    • 2
  1. 1.Department of Information Processing ScienceUniversity of OuluOuluFinland
  2. 2.Department of PsychologyUniversity of JyväskyläFinland

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