Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)
Anderson, C., et al.: The persuasive power of oral health promotion messages: a theory of planned behavior approach to dental checkups among young adults. Health Commun. 28(3), 304–313 (2013)
Bleich, S.N., et al.: Reduction in purchases of sugar-sweetened beverages among low-income black adolescents after exposure to caloric information. Am. J. Public Health 102(2), 329–335 (2012)
Busch, M., Schrammel, J., Tscheligi, M.: Personalized persuasive technology – development and validation of scales for measuring persuadability. In: Berkovsky, S., Freyne, J. (eds.) PERSUASIVE 2013. LNCS, vol. 7822, pp. 33–38. Springer, Heidelberg (2013)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35, 982–1003 (1989)
Hendriks, B., et al.: Style congruency and persuasion: a cross-cultural study into the influence of differences in style dimensions on the persuasiveness of business newsletters in Great Britain and the Netherlands. IEEE Trans. Prof. Commun. 55(2), 122–141 (2012)
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)
Kaptein, M., et al.: Adaptive persuasive systems: a study of tailored persuasive text messages to reduce snacking. ACM Trans. Interact. Intell. Syst. 2(2), 10 (2012)
Kaptein, M.: Personalized persuasion in ambient intelligence. J. Ambient Intell. Smart Environ. 4(3), 279–280 (2012)
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)
Meschtscherjakov, A., et al.: Workshop on persuasive technologies in challenging contexts. In: PT 2014: The 9th International Conference on Persuasive Technology (2014)
Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Commun. Assoc. Inf. Syst. 24(1), 28 (2009)
Petty, R.E., Cacioppo, J.T.: The elaboration likelihood model of persuasion, pp. 1–24. Springer, New York (1986)
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)
Rohrbach, B.: Creative by rules—method 635, a new technique for solving problems. Absatzwirtschaft 12, 73–75 (1969)
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)
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)
Acknowledgements
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”).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
See Table 3
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Meschtscherjakov, A., Gärtner, M., Mirnig, A., Rödel, C., Tscheligi, M. (2016). The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned. In: Meschtscherjakov, A., De Ruyter, B., Fuchsberger, V., Murer, M., Tscheligi, M. (eds) Persuasive Technology. PERSUASIVE 2016. Lecture Notes in Computer Science(), vol 9638. Springer, Cham. https://doi.org/10.1007/978-3-319-31510-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-31510-2_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31509-6
Online ISBN: 978-3-319-31510-2
eBook Packages: Computer ScienceComputer Science (R0)