The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned
- 3k Downloads
Measuring the potential persuasive effect of non-fully functional prototypes is important in a user-centered design process. A tool for measuring this persuasive potential should be deployable regardless of the persuasive goal, be suited for a generic context, and be targeted at different user groups. In this paper, we make a first step towards such an all-encompassing, quick and easy-to-use tool to measure the potential of persuasive systems: the Persuasive Potential Questionnaire (PPQ). We outline the development stages of the PPQ. A literature analysis led to five dimensions characterizing the persuasive potential of a system. We then formulated 50 items for the PPQ in an iterative generation process and conducted an online survey with 94 participants. Based on a statistical analysis, we propose a first version of the PPQ with 3 dimensions and 15 items. We conclude with a reflection on the identified benefits and drawbacks regarding the current iteration of the PPQ.
KeywordsMethods Persuasion Questionnaire
The financial support by the Austrian Federal Ministry of Science, Research and Economy and the National Foundation for Research, Technology and Development is gratefully acknowledged (Christian Doppler Laboratory for “Contextual Interfaces”).
- 7.Kaptein, M., et al.: Means based adaptive persuasive systems. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 335–344. ACM (2011)Google Scholar
- 9.Kaptein, M.: Personalized persuasion in ambient intelligence. J. Ambient Intell. Smart Environ. 4(3), 279–280 (2012)Google Scholar
- 10.Lehto, T., Oinas-Kukkonen, H., Drozd, F.: Factors affecting perceived persuasiveness of a behavior change support system. In: Proceedings of the 33rd International Conference on Information Systems (2012)Google Scholar
- 11.Meschtscherjakov, A., et al.: Workshop on persuasive technologies in challenging contexts. In: PT 2014: The 9th International Conference on Persuasive Technology (2014)Google Scholar
- 12.Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24(1), 28 (2009)Google Scholar
- 13.Petty, R.E., Cacioppo, J.T.: The elaboration likelihood model of persuasion, pp. 1–24. Springer, New York (1986)Google Scholar
- 14.Ramachandran, D., et al.: Mobile-izing health workers in rural India. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM (2010)Google Scholar
- 15.Rohrbach, B.: Creative by rules—method 635, a new technique for solving problems. Absatzwirtschaft 12, 73–75 (1969)Google Scholar
- 16.Thieme, A., et al.: We’ve bin watching you: designing for reflection and social persuasion to promote sustainable lifestyles. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM (2012)Google Scholar
- 17.Venkatesh, V., Morris, M. G., Davis, G.B., and Davis, F.D.: User acceptance of information technology: toward a unified view. MIS quarterly, pp. 425–478 (2003) Google Scholar