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An Analysis of the Persuasive Technology Design Features that Support Behavioural Change

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 360))

Abstract

Persuasive Technologies (PTs) are designed to change attitudes or behaviours of the users through persuasion and social influence. Recent studies have espoused the need for integrating design features in PTs to motivate users to perform desired action. However, the efficacy of these design features has not been empirically tested. This study seeks to assess whether the planned integration of design features into PTs lead to behaviour change. The study adopted the Persuasive Systems Design (PSD) model and empirically tested the design features among 150 Ghanaian Junior High School (JHS) students who were exposed to an interactive mathematic software program. All four constructs of the model; primary task support, dialogue support, system credibility support, and social support were all found to significantly influence behavioural change. However, social support had the most impact whilst dialogue support had the least impact on actual behavior change. Future studies can assess the applicability of the model with different user groups and in other jurisdictions.

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References

  1. IJsselsteijn, W., de Kort, Y., Midden, C., Eggen, B., van den Hoven, E.: Persuasive technology for human well-being: setting the scene. In: Persuasive Technology, pp. 1–5. Heidelberg, Springer, Berlin (2006)

    Google Scholar 

  2. Bailenson, J.N., Beall, A.C., Loomis, J., Blascovich, J., Turk, M.: Transformed social interaction: decoupling representation from behavior and form in collaborative virtual environments. Presence 13(4), 428–441 (2004)

    Article  Google Scholar 

  3. Fogg, B.J.: Persuasive Technology. Using Computers to Change What We Think and Do. Morgan Kaufman Publishers (2003)

    Google Scholar 

  4. Kaptein, M., Eckles, D.: Heterogeneity in the effects of online persuasion. J. Interact. Mark 26(3), 176–188 (2012)

    Article  Google Scholar 

  5. Grolleman, J., Van Dijk, B., Nijholt, A., Van Emst, A.: Break the Habit! Designing an e-Therapy Intervention Using a Virtual Coach in Aid of Smoking Cessation, pp. 33–141 (2006)

    Google Scholar 

  6. Consolvo, S., Landay, J.A., McDonald, D.W.: Designing for behavior change in everyday life. IEEE Comput. Soc. (2009)

    Google Scholar 

  7. Svane, O.: Helping, informing or coaxing the consumer? Exploring persuasive technology as applied to house holds energy use. Policy 11, 1–11 (2007)

    Google Scholar 

  8. Bang, M., Torstensson, C., Katzeff, C.: The power House: a persuasive computer AME designed to raise awareness of domestic energy consumption. Persuas Technol. 123–132 (2006)

    Google Scholar 

  9. Dolhalit, M.L., Salam, S.N.A.: Exploring persuasive multimedia techniques in attitude and behavior change: a comparative study. Procedia Soc. Behav. Sci. 386–391, (2014)

    Google Scholar 

  10. Zuraini, H.Z., Wan, F.W.A.: Effectiveness and usability evaluation of. 'Li2D' courseware. Int. J. Educ. Pedagogical Sci. 149–153 (2011)

    Google Scholar 

  11. Thomson, C., Nash, J., Maeder, A.: Persuasive design for behaviour change apps: issues for designers. In: South African Institute of Computer Scientists and Information Technologists, Johannesburg (2016)

    Google Scholar 

  12. Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: key issues, process model, and system features. Commun. Assoc. Inf. Syst. 28, 486–500 (2009)

    Google Scholar 

  13. Graf, B., Krüger, M., Müller, F., Ruhland, A., Zech, A.: Nombot: simplify food tracking. In: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia (2015)

    Google Scholar 

  14. Intille, S.S., Kukla, C., Farzanfar, R., Bakr, W.: Just-in-time technology to encourage incremental, dietary behavior change. In: AMIA Annual Symposium Proceedings (2003)

    Google Scholar 

  15. Eyck, A., et al.: Effect of a virtual coach on athletes’ motivation. In Persuasive, pp. 158–161. Heidelberg, Springer, Verlag (2006)

    Google Scholar 

  16. King, P., Tester, J.: The landscape of persuasive technologies. Commun. ACM 42(5), 31–38 (1999)

    Article  Google Scholar 

  17. Dix, A., Finlay, J., Abowd, G.D., Beale, R.: Human-Computer Interactions. Pearson Education, London (2008)

    MATH  Google Scholar 

  18. Toscos, T., Faber, A., An, S., Gandhi, M.: Chick clique: Persuasive technology to motivate teenage girls to exercise. In: Extended Abstracts on Human Factors in Computing Systems, pp. 1873–1878. ACM Press, New York (2006)

    Google Scholar 

  19. Sohn, M., Lee, J.: UP health: ubiquitously persuasive health promotion with an instant. In: Extended Abstracts on Human Factors in Computing Systems, pp. 2663–2668. ACM Press, New York (2007)

    Google Scholar 

  20. Jiang, N., Ali, R.: On the delivery of recommendations in social software: a user’s perspective. In: International Conference on Human-Centred Software Engineering. Heidelberg (2014)

    Google Scholar 

  21. Bartlett, Y.K., Webb, T.L., Hawley, M.S.: Using persuasive technology to increase physical activity in people with chronic obstructive pulmonary disease by encouraging regular walking: a mixed-methods study exploring opinions and preferences. J. Med. Internet Res. 19(4) (2017)

    Google Scholar 

  22. Mathews, J., Win, K.T., Oinas-Kukkonen, H., Freeman, M.: Persuasive technology in mobile applications promoting physical activity: a systematic review. J. Med. Syst. 40(3), 72–85 (2016)

    Article  Google Scholar 

  23. Holton, E.H., Burnett, M.B.: Qualitative research methods. Human resource development research handbook: Linking research and practice, pp. 43–47. Berrett-Koehler Publishers, San Francisco (1997)

    Google Scholar 

  24. Bruce, D.: Mathematics axiety among Ghanaian students: a case students of Kinbu senior high/technical school, a Hermann-Gmeiner SOS junior high school, Tema. J. Educ. Pract. 17(15), 73–83 (2016)

    Google Scholar 

  25. WAEC: 2017 WAEC May/June Results Statistics. https://schoolgh.com/waec-mayjune-results-statistics/. Accessed 13 Mar 2018

  26. Enu, J., Agyman, O.K., Nkum, D.: Factors influencing students' mathematics perfromance in some selected colleges of education in Ghana. Int. J. Educ. Learn. Dev. 3, 68–74 (2015)

    Google Scholar 

  27. Hackshaw, A.: Small studies: strengths and limitations. Eur. Respir. J. 32(5), 1141–1143 (2008)

    Article  Google Scholar 

  28. Faber, J., Fonseca, L.M.: How sample size influences research outcomes. Dental Press J. Orthod. 19(4), 27–29 (2014)

    Article  Google Scholar 

  29. Hair, J.F., Hult, G.M., Ringle, C.M., Sarstedt, M.: A Preimer on Partial Least Squares Strcutural Equation Modeling (PLS-SEM). Sage, London (2017)

    MATH  Google Scholar 

  30. Hilton, C.E.: The importance of pretesting questionnaires: a field research example of cognitive pretesting the exercise referral quality of life scale (ER-QLS). Int. J. Soc. Res. Methodol. 20(1), 21–34 (2017)

    Article  Google Scholar 

  31. Fogg, B.: A behavior model for persuasive design. In: Persuasive’09. California, USA (2009)

    Google Scholar 

  32. Powell, F.A.: Source credibility and behavioral compliance as determinants of attitude change. J. Pers. Soc. Psychol. 669–676 (1965)

    Google Scholar 

  33. Homer, P.M., Kahle, L.R.: Source expertise, time of source identification, and involvement in persuasion: an elaborative processing perspective. J. Advert. 19(1), 30–39 (1990)

    Article  Google Scholar 

  34. Pornpitakpan, C.: The persuasiveness of source credibility: a critical review of five decades’ evidence. J. Appl. Soc. Psycol. 34(2), 234–281 (2004)

    Google Scholar 

  35. Ali, S.B., Husin, A.R.B.C.: Propose an enhanced social support for b2c persuasive recommendation system in Malaysia. In 2017 6th ICT International Student Project Conference (ICT-ISPC). Skudai (2017)

    Google Scholar 

  36. Lah, N.S.C., Hussin, A.R.C., Dahlan, H.M.: Improving B2C e-commerce trust through social presence factors. J. Inf. Syst. Res. Innovation 3, 44–58 (2017)

    Google Scholar 

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Correspondence to Alexander Asmah .

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Asmah, A., Ofoeda, J., Agbozo, E. (2022). An Analysis of the Persuasive Technology Design Features that Support Behavioural Change. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 3. FTC 2021. Lecture Notes in Networks and Systems, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-89912-7_56

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