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Evaluation of Computer-Tailored Motivational Messaging in a Health Promotion Context

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Modeling and Using Context (CONTEXT 2019)

Abstract

Persuasive messages have recently been shown to be more effective when tailored to the personality and preferences of the recipient. However, much of the literature on adaptive persuasion has evaluated the effectiveness of persuasive attempts by the direct reactions to those attempts instead of changes on the longer term (e.g. lifestyle changes). Results of this study suggest that adaptive persuasion improves attitudes towards persuasive attempts, but does not necessarily cause a change in longer term behavior. This was found through a randomized controlled trial evaluating the implementation an adaptive persuasive system in a health promotion intervention. This article provides a detailed description of this evaluation and encourages the research community to (1) become more skeptical towards the longer term effectiveness of adaptive persuasive techniques and (2) design more explicitly for longer term changes in behavior.

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Notes

  1. 1.

    https://www.gamebus.eu/.

  2. 2.

    See https://doi.org/10.6084/m9.figshare.8289044.v1 for the list of persuasive elements as used by the APMS.

  3. 3.

    See https://doi.org/10.6084/m9.figshare.8288882.v1 for the list of challenges.

  4. 4.

    Activity-message causation in MS was determined the same way message effectiveness was measured using information on the performed activities of participants; by flagging messages of which the promoted activity was performed within 3 days, indicating a message as it’s trigger.

References

  1. Allenby, G.M., Rossi, P.E.: Marketing models of consumer heterogene- Ity. J. Econometrics 89, 57–78 (1999)

    Article  Google Scholar 

  2. Cialdini, R., Trost, M., Newsom, J.: The development of a valid mea- sure and discovery of surprising behavioural implications. J. Pers. Soc. Psychol. 69(2), 318–328 (1995)

    Article  Google Scholar 

  3. Dijkstra, A.: Working mechanisms of computer-tailored health education: evidence from smoking cessation. Health Educ. Res. 20(5), 527–539 (2005). https://doi.org/10.1093/her/cyh014. ISSN: 02681153

    Article  Google Scholar 

  4. Brent Donnellan, M., et al.: The Mini-IPIP scales: tiny-yet-effective mea- sures of the Big Five factors of personality. Psychol. Assess. 18(2), 192–203 (2006). https://doi.org/10.1037/1040-3590.18.2.192. ISSN: 10403590

    Article  Google Scholar 

  5. Goldberg, L.R.: An alternative “Description of Personality”: the big- five factor structure. J. Pers. Soc. Psychol. 59(6), 1216–1229 (1990)

    Article  Google Scholar 

  6. Graziano, W.G., Eisenberg, N.: Agreeableness: a Dimension of Personality (1997). http://cachescan.bcub.ro/e-book/E1/580591/795-870.pdf

    Chapter  Google Scholar 

  7. Haugtvedt, C.P., Petty, R.E., Cacioppo, J.T.: Need for cognition and advertising: understanding the role of personality variables in consumer behavior. J. Consum. Psychol. 1(3), 239–260 (1992). https://doi.org/10.1016/S1057-7408(08)80038-1. ISSN: 10577408. 1

    Article  Google Scholar 

  8. Hirsh, J.B., Inzlicht, M.: The devil you know: neuroticism predicts neural response to uncertainty. Psychol. Sci. 19(10), 962–967 (2008). https://doi.org/10.1111/j.1467-9280.2008.02183. ISSN: 09567976

    Article  Google Scholar 

  9. Hirsh, J.B., Kang, S.K., Bodenhausen, G.V.: Personalized persuasion: tailoring persuasive appeals to recipients personality traits. Psychol. Sci. 23(6), 578–581 (2012). https://doi.org/10.1177/0956797611436349. ISSN: 14679280

    Article  Google Scholar 

  10. Kaptein, M., Eckles, D.: Heterogeneity in the effects of online persuasion. J. Interact. Mark. 26(3), 176–188 (2012). https://doi.org/10.1016/j.intmar.2012.02.002. ISSN: 10949968

    Article  Google Scholar 

  11. Kaptein, M., Parvinen, P.: Advancing e-commerce personalization: process framework and case stud. Int. J. Electron. Commer. 19(3), 7–33 (2015). https://doi.org/10.1080/10864415.2015.1000216. ISSN: 15579301

    Article  Google Scholar 

  12. Kaptein, M., Van Halteren, A.: Adaptive persuasive messaging to increase service retention: using persuasion profiles to increase the effectiveness of email reminders. Pers. Ubiquitous Comput. 17(6), 1173–1185 (2013). https://doi.org/10.1007/s00779-012-0585-3. ISSN: 16174909

    Article  Google Scholar 

  13. McCrae, R.R., Costa, P.T., Costa Jr., P.T.: Conceptions and correlates of openness to experience. In: Handbook of Personality Psychology May (1997), pp. 825–847. ISSN: 14222795. https://doi.org/10.1016/B978-012134645-4/50032-9

    Chapter  Google Scholar 

  14. Michie, S., van Stralen, M.M., West, R.: The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implementation Sci. 6(1), 42 (2011). https://doi.org/10.1186/1748-5908-6-42. ISSN: 17485908

    Article  Google Scholar 

  15. Morris, M., Guilak, F.: Mobile heart health : project high-light. IEEE Pervasive Comput. 57–61 (2009). https://doi.org/10.1145/1280120.1280170

  16. Nuijten, R.C.Y., et al.: Evaluation of the impact of extrinsic rewards on user engagement in a health promotion context (2019)

    Google Scholar 

  17. Roberts, B.W., et al.: The structure of conscientiousness: an empirical investigation based on seven major personality questionnaires. Pers.l Psychol. 58(1), 103–139 (2005). https://doi.org/10.1111/j.1744-6570.2005.00301.x. ISSN: 0031–5826

    Article  Google Scholar 

  18. Scott, S.L.: A modern Bayesion look at multi-armed bandit. Appl. Stoch. Models Bus. Ind. 26, 157–164 (2007). https://doi.org/10.1002/asmb. ISSN: 1524–1904

    Article  Google Scholar 

  19. Shao, L., et al.: Cross-cultural evidence for the fundamental features of extraversion. J. Pers. Soc. Psychol. 79(3), 452–468 (2005). https://doi.org/10.1037/0022-3514.79.3.452. ISSN: 0022–3514

    Article  Google Scholar 

  20. Stein, C.: Inadmissibility of the usual estimator for the mean of a multi-variate normal distribution. Proc. Third Berkeley Symp. Math. Stat. Probab. 1(4), 197–206 (1955). ISSN: 0097-0433

    MathSciNet  Google Scholar 

  21. Wilcox, R.R.: A Review of the beta-binomial model and its extensions. J. Educ. Stat. 6(1), 3–32 (1981)

    Article  Google Scholar 

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Acknowledgements

This work is part of the research program ‘Gamification for Overweight Prevention and Active Lifestyle’ (443001101), which is partly financed by the Netherlands Organisation for Health Research and Development (ZonMw). The authors also thank Kalliopi Zervanou for feedback on an early version of this work

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Correspondence to Jens E. d’Hondt .

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d’Hondt, J.E., Nuijten, R.C.Y., Van Gorp, P.M.E. (2019). Evaluation of Computer-Tailored Motivational Messaging in a Health Promotion Context. In: Bella, G., Bouquet, P. (eds) Modeling and Using Context. CONTEXT 2019. Lecture Notes in Computer Science(), vol 11939. Springer, Cham. https://doi.org/10.1007/978-3-030-34974-5_11

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  • DOI: https://doi.org/10.1007/978-3-030-34974-5_11

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