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Persuasive Mobile NOW Interactions

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Human-Computer Interaction. User Experience and Behavior (HCII 2022)

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Abstract

This paper addresses the challenge of increasing adherence to self-report questionnaires by introducing a mobile communication technique called NOW Interactions. NOW Interactions persuades people to provide bits of information in a moment, at the right time, with minimal interruption of their current activity, and makes it easier for users to respond than to dismiss an information request, without opening an application. NOW Interactions is based on principles from interaction design, microinteractions, and persuasive design. Timely and smooth interactions are ensured by taking into account the process that users go through when providing information. We illustrate NOW Interactions in a functional prototype that aims to reinforce the quality and reliability in e-healthcare solutions by innovating the methods used to gather information through self-report questionnaires. Results from a pilot study confirm the need for innovation of self-report questionnaires, indicate potential for NOW Interactions, and suggest the need for further research on NOW Interactions to test interplay with sensors, authoring tools, and integration in health applications.

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References

  1. Adams, J.S.: Towards an understanding of inequity. Psychol. Sci. Public Interest 67(5), 422 (1963)

    Google Scholar 

  2. Aday, L.A., Cornelius, L.J.: Designing and Conducting Health Surveys: A Comprehensive Guide. Wiley, Hoboken (2006)

    Google Scholar 

  3. Andersson, G., Cuijpers, P.: Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn. Behav. Ther. 38(4), 196–205 (2009)

    Article  Google Scholar 

  4. Antoun, C., Katz, J., Argueta, J., Wang, L.: Design heuristics for effective smartphone questionnaires. Soc. Sci. Comput. Rev. 36(5), 557–574 (2018)

    Article  Google Scholar 

  5. Baumeister, H., Reichler, L., Munzinger, M., Lin, J.: The impact of guidance on internet-based mental health interventions-a systematic review. Internet Interv. 1(4), 205–215 (2014)

    Article  Google Scholar 

  6. Carlbring, P., Andersson, G., Cuijpers, P., Riper, H., Hedman-Lagerlöf, E.: Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. Cogn. Behav. Ther. 47(1), 1–18 (2018)

    Article  Google Scholar 

  7. Couper, M.P., Peterson, G.J.: Why do web surveys take longer on smartphones? Soc. Sci. Comput. Rev. 35(3), 357–377 (2017)

    Article  Google Scholar 

  8. Delgado, P., Vargas, C., Ackerman, R., Salmerón, L.: Don’t throw away your printed books: a meta-analysis on the effects of reading media on reading comprehension. Educ. Res. Rev. 25, 23–38 (2018)

    Article  Google Scholar 

  9. Demetriou, C., Ozer, B., Essau, C.: Self-report questionnaires. In: Cautin, R.L., Lilienfeld, S.O. (eds.) The Encyclopedia of Clinical Psychology, 1st edn. Wiley, Hoboken (2015)

    Google Scholar 

  10. Farrer, L.M., Griffiths, K.M., Christensen, H., Mackinnon, A.J., Batterham, P.J.: Predictors of adherence and outcome in internet-based cognitive behavior therapy delivered in a telephone counseling setting. Cogn. Ther. Res. 38(3), 358–367 (2014)

    Article  Google Scholar 

  11. Foddy, W., Foddy, W.H.: Constructing Questions for Interviews and Questionnaires: Theory and Practice in Social Research. Cambridge University Press, Cambridge (1994)

    Google Scholar 

  12. Fogg, B.J.: A behavior model for persuasive design, pp. 1–7 (2009)

    Google Scholar 

  13. Hall, L., Hume, C., Tazzyman, S.: Five degrees of happiness: effective smiley face Likert scales for evaluating with children. In: Proceedings of the the 15th International Conference on Interaction Design and Children, pp. 311–321 (2016)

    Google Scholar 

  14. Harms, J., Biegler, S., Wimmer, C., Kappel, K., Grechenig, T.: Gamification of online surveys: design process, case study, and evaluation. In: Abascal, J., Barbosa, S., Fetter, M., Gross, T., Palanque, P., Winckler, M. (eds.) INTERACT 2015. LNCS, vol. 9296, pp. 219–236. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22701-6_16

    Chapter  Google Scholar 

  15. Hsieh, G., Li, I., Dey, A., Forlizzi, J., Hudson, S.E.: Using visualizations to increase compliance in experience sampling. In: Proceedings of the 10th International Conference on Ubiquitous Computing, pp. 164–167 (2008)

    Google Scholar 

  16. Hunt, S.D., Sparkman, R.D., Jr., Wilcox, J.B.: The pretest in survey research: issues and preliminary findings. J. Mark. Res. 19(2), 269–273 (1982)

    Article  Google Scholar 

  17. Karyotaki, E., et al.: Do guided internet-based interventions result in clinically relevant changes for patients with depression? An individual participant data meta-analysis. Clin. Psychol. Rev. 63, 80–92 (2018)

    Article  Google Scholar 

  18. Kelders, S.M., Kip, H.: Development and initial validation of a scale to measure engagement with eHealth technologies. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–6 (2019)

    Google Scholar 

  19. Keusch, F., Zhang, C.: A review of issues in gamified surveys. Soc. Sci. Comput. Rev. 35(2), 147–166 (2017)

    Article  Google Scholar 

  20. Lavrakas, P.J.: Encyclopedia of Survey Research Methods. Sage Publications, Thousand Oaks (2008)

    Google Scholar 

  21. Lietz, P.: Research into questionnaire design: a summary of the literature. Int. J. Mark. Res. 52(2), 249–272 (2010)

    Article  Google Scholar 

  22. Linnenbrink, E.A.: The role of affect in student learning: a multi-dimensional approach to considering the interaction of affect, motivation, and engagement. In: Emotion in Education, pp. 107–124. Elsevier (2007)

    Google Scholar 

  23. Pielot, M., Church, K., De Oliveira, R.: An in-situ study of mobile phone notifications. In: Proceedings of the 16th International Conference on Human-Computer Interaction with Mobile Devices & Services, pp. 233–242 (2014)

    Google Scholar 

  24. Preece, J., Sharp, H., Rogers, Y.: Interaction Design: Beyond Human-Computer Interaction. Wiley, Hoboken (2015)

    Google Scholar 

  25. Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161 (1980)

    Article  Google Scholar 

  26. Russell, J.A.: Core affect and the psychological construction of emotion. Psychol. Rev. 110(1), 145 (2003)

    Article  Google Scholar 

  27. Saffer, D.: Microinteractions: Designing with Details. O’Reilly Media Inc., Newton (2013)

    Google Scholar 

  28. Stone, A.A., Kessler, R.C., Haythomthwatte, J.A.: Measuring daily events and experiences: decisions for the researcher. J. Pers. 59(3), 575–607 (1991)

    Article  Google Scholar 

  29. Tourangeau, R., Rips, L.J., Rasinski, K.: The Psychology of Survey Response (2000)

    Google Scholar 

  30. Van Berkel, N., Ferreira, D., Kostakos, V.: The experience sampling method on mobile devices. ACM Comput. Surv. (CSUR) 50(6), 1–40 (2017)

    Article  Google Scholar 

  31. Van Berkel, N., Goncalves, J., Hosio, S., Kostakos, V.: Gamification of mobile experience sampling improves data quality and quantity. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 3, pp. 1–21 (2017)

    Google Scholar 

  32. Västfjäll, D., Friman, M., Gärling, T., Kleiner, M.: The measurement of core affect: a Swedish self-report measure derived from the affect circumplex. Scand. J. Psychol. 43(1), 19–31 (2002)

    Article  Google Scholar 

  33. Västfjäll, D., Gärling, T.: Validation of a Swedish short self-report measure of core affect. Scand. J. Psychol. 48(3), 233–238 (2007)

    Article  Google Scholar 

  34. Zhang, X., Pina, L.R., Fogarty, J.: Examining unlock journaling with diaries and reminders for in situ self-report in health and wellness. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5658–5664 (2016)

    Google Scholar 

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Correspondence to Rosaline Barendregt .

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Barendregt, R., Wasson, B. (2022). Persuasive Mobile NOW Interactions. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_22

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  • DOI: https://doi.org/10.1007/978-3-031-05412-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05411-2

  • Online ISBN: 978-3-031-05412-9

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