skip to main content
10.1145/2702613.2732835acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Work in Progress

Using Socio-ecological Model to Inform the Design of Persuasive Applications

Published:18 April 2015Publication History

ABSTRACT

Diverse persuasive applications that aim for behavioural changes have been developed. However, the method in which particular persuasive design principles are chosen over others remains unclear. Meanwhile, the use of socio-ecological model has been widely utilized in clinical research, as a basis to understand the factors in the entire ecological system that influences behavioural patterns. Because persuasive technology aims to change the behaviour and attitudes of users, we believe that the use of socio-ecological model would be beneficial to inform the design of persuasive applications. Accordingly, in this paper, we attempt to demonstrate the mapping of the socio-ecological factors and persuasive design principles by conducting interviews and expert reviews. Based on our approach, 12 socio-ecological factors that influence physical activity behaviour, and corresponding relevant persuasive design principles to deal with these factors, are identified.

References

  1. Fogg, B.J. Persuasive Technology: Using computers to change what people think and do. Morgan Kaufmann, NY, USA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Albaina, I. M., Visser, T., van der Mast, C. A. P. G. and Vastenburg, M. H. Flowie: A persuasive virtual coach to motivate elderly individuals to walk. Pervasive Health 2009, IEEE (2009), 1--7.Google ScholarGoogle Scholar
  3. Consolvo, S., Klasnja, P., McDonald, D. W. and Landay, J. A. Goal-setting considerations for persuasive technologies that encourage physical activity. PERSUASIVE '09, ACM (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Davis, J. Early experiences with participation in persuasive technology design, PDC '12, ACM (2012), 119--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Fogg, B.J. Creating persuasive technologies: an eight-step design process, PERSUASIVE '09, ACM (2009). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Oinas-Kukkonen, H. and Harjumaa, M. Persuasive Systems Design: Key Issues, Process Model, and System Features. Communications of the Association for Information Systems 24, 28 (2009), 485--500.Google ScholarGoogle ScholarCross RefCross Ref
  7. Hekler, E. B., Klasnja, P., Froehlich, J. E. and Buman, M.P. Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research, CHI '13, ACM (2013), 3307--3316. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Brehm, B.A. The Psychology of Health and Fitness. F.A. Davis Company, Philadelphia, USA, 2014.Google ScholarGoogle Scholar
  9. Shibata, A., Oka, K., Harada, K., Nakamura, Y., and Muraoka I. Psychological, social, and environmental factors to meeting physical activity recommendations among Japanese adults. International Journal of Behavioral Nutrition and Physical Activity 6, 60 (2009).Google ScholarGoogle ScholarCross RefCross Ref
  10. McGannon, K.R., Busanich, R., Witcher, C.S.G. and Schinke, R.J. A social ecological exploration of physical activity influences among rural men and women across life stages. Qualitative Research in Sport, Exercise and Health 6, 4 (2013), 517--536.Google ScholarGoogle Scholar
  11. Hruschka, D., Schwartz, D., et al. (2004). Reliability in Coding Open-Ended Data: Lessons Learned from HIV Behavioral Research. J. of Field Methods. 16(3):307--331Google ScholarGoogle ScholarCross RefCross Ref
  12. Michie, S., Johnston, M., Francis, J., Hardeman, W. and Eccles, M. From Theory to Intervention: Mapping Theoretically Derived Behavioural Determinants to Behaviour Change Techniques, Applied Psychology: An International Review, 57, 4 (2008), 660--680.Google ScholarGoogle ScholarCross RefCross Ref
  13. U.S. Dept. of Health and Human Services. Promoting physical activity. Human Kinetics, IL, USA, 1999.Google ScholarGoogle Scholar

Index Terms

  1. Using Socio-ecological Model to Inform the Design of Persuasive Applications

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
      April 2015
      2546 pages
      ISBN:9781450331463
      DOI:10.1145/2702613

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

      Check for updates

      Qualifiers

      • Work in Progress

      Acceptance Rates

      CHI EA '15 Paper Acceptance Rate379of1,520submissions,25%Overall Acceptance Rate6,164of23,696submissions,26%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader