Skip to main content

Involvement as a Working Mechanism for Persuasive Technology

  • Conference paper
Persuasive Technology (PERSUASIVE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9072))

Included in the following conference series:

Abstract

Internet interventions have been shown to be effective for treatment of mental health complaints. Although non-adherence poses a problem, persuasive technology might be a solution. However, there is limited insight in how and why technology may lead to more adherence and effectiveness. This study explores the role of involvement in a Behavior Change Support System (BCSS) for treatment of depression. Involvement is seen as an important factor in the success of treatment, but has received little research attention. This study expands on an earlier study and uses self-reported data to explore differences between versions of the BCSS on involvement. The results show that involvement and adherence are related, but involvement outperforms adherence as predictor for effectiveness. This underlines the importance of involvement: it may be a working mechanism of persuasive technology and may be used as an early measure to assess whether the intervention is likely to reach its goals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barak, A., et al.: A comprehensive review and a meta-analysis of the effectiveness of internet-based psychotherapeutic interventions. Journal of Technology in Human Services 26(2-4), 109–160 (2008)

    Article  Google Scholar 

  2. Webb, T., et al.: Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research 12(1), e4 (2010)

    Google Scholar 

  3. 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 

  4. Donkin, L., et al.: A systematic review of the impact of adherence on the effectiveness of e-therapies. Journal of Medical Internet Research 13(3) (2011)

    Google Scholar 

  5. Oinas-Kukkonen, H.: A foundation for the study of behavior change support systems. Personal and Ubiquitous Computing 17(6), 1223–1235 (2013)

    Article  Google Scholar 

  6. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems 24(1), 28 (2009)

    Google Scholar 

  7. Hill, C.E.: Therapist techniques, client involvement, and the therapeutic relationship: Inextricably intertwined in the therapy process. Psychotherapy: Theory, Research, Practice, Training 42(4), 431 (2005)

    Article  Google Scholar 

  8. Lambert, M.J., Barley, D.E.: Research summary on the therapeutic relationship and psychotherapy outcome. Psychotherapy: Theory, Research, Practice, Training 38(4), 357 (2001)

    Article  Google Scholar 

  9. Lyubomirsky, S., et al.: Becoming Happier Takes Both a Will and a Proper Way: An Experimental Longitudinal Intervention To Boost Well-Being. Emotion 11(2), 391–402 (2011)

    Article  Google Scholar 

  10. Kelders, S.M., et al.: Comparing human and automated support for depression: fractional factorial randomized controlled trial. under review

    Google Scholar 

  11. Kelders, S.M., et al.: Development of a web-based intervention for the indicated prevention of depression. BMC Medical Informatics and Decision Making 13, 26 (2013)

    Article  Google Scholar 

  12. Furmark, T., et al.: Guided and unguided self-help for social anxiety disorder: randomised controlled trial. British Journal of Psychiatry 195(5), 440–447 (2009)

    Article  Google Scholar 

  13. Hurling, R., Fairley, B.W., Dias, M.B.: Internet-based exercise intervention systems: Are more interactive designs better? Psychology & Health 21(6), 757–772 (2006)

    Article  Google Scholar 

  14. Strecher, V.J., et al.: Web-based smoking-cessation programs: results of a randomized trial. Am. J. Prev. Med. 34(5), 373–381 (2008)

    Article  Google Scholar 

  15. Webb, T.L., et al.: Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research 12(1), e4 (2010)

    Google Scholar 

  16. Pots, W.T.M., et al.: Acceptance and Commitment Therapy as a web-based intervention for depressive symptomatology: Randomised Controlled Trial. British Journal of Psychiatry (in press)

    Google Scholar 

  17. Oinas-Kukkonen, H., Oinas-Kukkonen, H.: Humanizing the web: change and social innovation. Palgrave Macmillan (2013)

    Google Scholar 

  18. Knutov, E., De Bra, P., Pechenizkiy, M.: AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques. New Review of Hypermedia and Multimedia 15(1), 5–38 (2009)

    Article  Google Scholar 

  19. Radloff, L.S.: The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement 1(3), 385–401 (1977)

    Article  Google Scholar 

  20. Christensen, H., Griffiths, K.M., Farrer, L.: Adherence in Internet interventions for anxiety and depression: Systematic review. Journal of Medical Internet Research 11(2) (2009)

    Google Scholar 

  21. Haringsma, R., et al.: The criterion validity of the Center for Epidemiological Studies Depression Scale (CES-D) in a sample of self-referred elders with depressive symptomatology. International Journal of Geriatric Psychiatry 19(6), 558–563 (2004)

    Article  Google Scholar 

  22. Zaichkowsky, J.L.: The Personal Involvement Inventory - Reduction, Revision, and Application to Advertising. Journal of Advertising 23(4), 59–70 (1994)

    Article  Google Scholar 

  23. Baylor, A.L.: Promoting motivation with virtual agents and avatars: role of visual presence and appearance. Philos. Trans. R. Soc. Lond. B: Biol. Sci. 364(1535), 3559–3565 (2009)

    Article  Google Scholar 

  24. Langrial, S., Oinas-Kukkonen, H.: Less fizzy drinks: A multi-method study of persuasive reminders. In: Bang, M., Ragnemalm, E.L. (eds.) PERSUASIVE 2012. LNCS, vol. 7284, pp. 256–261. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  25. Kelders, S.M., Bohlmeijer, E.T., van Gemert-Pijnen, J.E.: Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial. Journal of Medical Internet Research 15(8) (2013)

    Google Scholar 

  26. Fogg, B.J.: Persuasive technology: Using computers to change what we think and do. The Morgan Kaufmann series in interactive technologies 2003, xxviii, 283 p. Morgan Kaufmann Publishers, Boston (2003)

    Google Scholar 

  27. Donkin, L., et al.: Rethinking the dose-response relationship between usage and outcome in an online intervention for depression: randomized controlled trial. Journal of Medical Internet Research 15(10) (2013)

    Google Scholar 

  28. Donkin, L., Glozier, N.: Motivators and motivations to persist with online psychological interventions: a qualitative study of treatment completers. Journal of Medical Internet Research 14(3) (2012)

    Google Scholar 

  29. Nosek, B.A., Greenwald, A.G., Banaji, M.R.: The Implicit Association Test at age 7: A methodological and conceptual review. In: Automatic Processes in Social Thinking and Behavior, pp. 265–292 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Saskia M. Kelders .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Kelders, S.M. (2015). Involvement as a Working Mechanism for Persuasive Technology. In: MacTavish, T., Basapur, S. (eds) Persuasive Technology. PERSUASIVE 2015. Lecture Notes in Computer Science(), vol 9072. Springer, Cham. https://doi.org/10.1007/978-3-319-20306-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20306-5_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20305-8

  • Online ISBN: 978-3-319-20306-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics