Abstract
Though a variety of persuasive health applications have been designed with a preventive standpoint toward diseases in mind, many have been designed largely for a general audience. Designers of these technologies may achieve more success if applications consider an individual’s personality type. Our goal for this research was to explore the relationship between personality and persuasive technologies in the context of health-promoting mobile applications. We conducted an online survey with 240 participants using storyboards depicting eight different persuasive strategies, the Big Five Inventory for personality domains, and questions on perceptions of the persuasive technologies. Our results and analysis revealed a number of significant relationships between personality and the persuasive technologies we evaluated. The findings from this study can guide the development of persuasive technologies that can cater to individual personalities to improve the likelihood of their success.
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Arteaga, S.M., Kudeki, M., Woodworth, A.: Combating obesity trends in teenagers through persuasive mobile technology. SIGACCESS (94), 17–25 (2009)
Benet-Martinez, V., John, O.P.: Los Cinco Grandes: Across cultures and ethnic groups: Multitrait multimethod analyses of the Big Five in Spanish and English. J. of Personality and Soc. Psych. 75, 729–750 (1998)
Chiu, M.-C., et al.: Playful Bottle: a Mobile Social Persuasion System to Motivate Healthy Water Intake. In: Proceedings of Ubicomp 2009, Orlando, Florida, USA (2009)
Consolvo, S., Everitt, K., Smith, I., Landay, J.A.: Design Requirements for Technologies that Encourage Physical Activity. In: Proc. of CHI 2006, April 2006, pp. 457–466 (2006)
Consolvo, S., et al.: Goal-Setting Considerations for Persuasive Technologies that Encourage Physical Activity. In: Proc. of Persuasive 2009, pp. 1–8 (2009)
Consolvo, S., McDonald, D.W., Landay, J.A.: Theory-driven design strategies for technologies that support behavior change in everyday life. In: Proc. of CHI 2009, pp. 405–414 (2009)
Fogg, B.J.: Persuasive technology: using computers to change what we think and do. Morgan Kaufmann Publishers, Amsterdam (2003)
Froehlich, J., et al.: UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. In: Proc. of CHI 2009, Boston, MA, USA (2009)
Gajos, K.J., Weld, D.S.: SUPPLE: automatically generating user interfaces. In: Proc. of Intelligent User Interfaces 2004, Funchal, Madeira, Portugal (2004)
Gajos, K.Z., et al.: Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces. In: Proc. of CHI 2009 (2009)
Goldberg, L.R.: The structure of phenotypic personality traits. The American Psychologist 48(1), 26–34 (1993)
Grimes, A., Grinter, R.E.: Designing Persuasion: Health Technology for Low-Income African American Communities. In: de Kort, Y.A.W., IJsselsteijn, W.A., Midden, C., Eggen, B., Fogg, B.J. (eds.) PERSUASIVE 2007. LNCS, vol. 4744, pp. 24–35. Springer, Heidelberg (2007)
John, O.P., Donahue, E.M., Kentle, R.L.: The Big Five Inventory–Versions 4a and 54, University of California, Berkeley, Institute of Personality and Social Research (1991)
John, O.P., Naumann, L.P., Soto, C.J.: Paradigm Shift to the Integrative Big-Five Trait Taxonomy: History, Measurement, and Conceptual Issues. In: Handbook of Personality: Theory and Research, pp. 114–158. Guilford Press, New York (2008)
Kittur, A., Chi, E.H., Suh, B.: Crowdsourcing user studies with Mechanical Turk. In: Proc. of CHI 2008, Florence, Italy (2008)
van der Lelie, C.: The value of storyboards in the product design process. Personal and Ubiquitous Computing 10(2-3), 159–162 (2006)
Lin, J.J., et al.: Fish’n’Steps: Encouraging Physical Activity with an Interactive Computer Game. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 261–278. Springer, Heidelberg (2006)
Lo, J.-L., et al.: Playful tray: Adopting UbiComp and persuasive techniques into play-based occupational therapy for reducing poor eating behavior in young children. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 38–55. Springer, Heidelberg (2007)
Long, J.D., Stevens, K.R.: Clinical Scholarship: Using Technology to Promote Self-Efficacy for Healthy Eating in Adolescents. J. of Nursing Sch. 36(2), 134–139 (2004)
Nawyn, J., Intille, S., Larson, K.: Embedding Behavior Modification Strategies into a Consumer Electronic Device: A Case Study. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 297–314. Springer, Heidelberg (2006)
Peng, W.: Design and Evaluation of a Computer Game to Promote a Healthy Diet for Young Adults. Health Communication 24(2), 115–127 (2009)
Sellen, K., et al.: The People-Prototype Problem: Understanding the Interaction between Prototype Format and User Group. In: The Proceedings of CHI 2009, pp. 635–638 (2009)
Truong, K.N., Hayes, G.R., Abowd, G.D.: Storyboarding: An Empirical Determination of Best Practices and Effective Guidelines. In: Proc. of DIS 2006, pp. 12–21 (2006)
Whiteley, J., et al.: State of the Art Reviews: Using the Internet to Promote Physical Activity and Healthy Eating in Youth. Am. J. of Lifestyle Med. 2(2), 159–177 (2008)
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Halko, S., Kientz, J.A. (2010). Personality and Persuasive Technology: An Exploratory Study on Health-Promoting Mobile Applications. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds) Persuasive Technology. PERSUASIVE 2010. Lecture Notes in Computer Science, vol 6137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13226-1_16
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DOI: https://doi.org/10.1007/978-3-642-13226-1_16
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