Keeping Creative Writing on Track: Co-designing a Framework to Support Behavior Change

  • Paul Doney
  • Rebecca Evans
  • Marc Fabri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8517)


The application of persuasive technology in web-based and mobile phone-based systems is well established, particularly in the health domain. However, a greater understanding of the effectiveness of the techniques deployed is needed to facilitate the successful transfer of research findings into practical applications. The context explored here is that of creative writing and the potential use of persuasive technology to foster and support a productive writing routine. Employing a user-centered design approach, we conducted surveys and a co-creation workshop with writers. Goal setting and regular writing, combined with self-monitoring, were key indicators of an effective writing practice. Group and mentor support were also highlighted. Based on our findings, we developed the architecture for a mobile personal writing coach. We evaluated the architecture against existing frameworks, finding good congruence. This supports our long-term goal of creating a universal framework, applicable to a wider range of behavior change interventions, domains and users. The design considerations reported in this paper go some way towards that goal.


Behavior Change Goal Setting Design Thinking User-Centered Design Co-Design Methodology 


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  1. 1.
    Ajzen, I.: The Theory of Planned Behavior. In: Lange, P.A.M., Kruglanski, A.W. (eds.) Handbook of Theories of Social Psychology. SAGE Publications, London (2012)Google Scholar
  2. 2.
    Anderson, S.P.: Seductive Interaction Design. Berkley, New Riders (2011)Google Scholar
  3. 3.
    Anthemion Writer’s Cafe,
  4. 4.
  5. 5.
    Bandura, A.: Social Cognitive Theory. In: Lange, P.A.M., Kruglanski, A.W. (eds.) Handbook of Theories of Social Psychology. SAGE Publications, London (2012)Google Scholar
  6. 6.
    Cowley, B., Moutinho, J.L., Bateman, C., Oliveira, A.: Learning principles and interaction design for ‘Green My Place’. Entertainment Computing 2, 103–113 (2011)CrossRefGoogle Scholar
  7. 7.
    Writer’s Digest,
  8. 8.
  9. 9.
    Fogg, B.J.: A behavior model for persuasive design. In: Proceedings of the 4th International Conference on Persuasive Technology. ACM, Claremont (2009)Google Scholar
  10. 10.
    Gotsis, M., Wang, H., Spruijt-Metz, D., Jordan-Marsh, M., Valente, T.W.: Wellness partners. JMIR Research Protocols 2, e10 (2013)Google Scholar
  11. 11.
  12. 12.
    Health Month,
  13. 13.
    Hilgart, M.M., Ritterband, L.M., Thorndike, F.P., Kinzie, M.B.: Using Instructional Design Process to Improve Design and Development of Internet Interventions. Jof Medical Internet Research 14, 98–115 (2012)CrossRefGoogle Scholar
  14. 14.
    Kennett, D.J., Worth, N.C., Forbes, C.A.: The contributions of Rosenbaum’s model of self-control and the transtheoretical model to the understanding of exercise behavior. Psychology of Sport & Exercise 10, 602–608 (2009)CrossRefGoogle Scholar
  15. 15.
    Lau, P.W.C., Lau, E.Y., Wong, D.P., Ransdell, L.: A Systematic Review of Information and Communication Technology-Based Interventions for Promoting Physical Activity Behavior Change in Children and Adolescents. J. of Med. Int. Res. 13 (2011)Google Scholar
  16. 16.
    Lehto, T., Oinas-Kukkonen, H.: Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature. JMed. Int. Res. 13(19) (2011)Google Scholar
  17. 17.
  18. 18.
    Litvin, E.B., Abrantes, A.M., Brown, R.A.: Computer and mobile technology-based interventions for substance use disorders. Addictive Behaviors 38, 1747–1756 (2012)CrossRefGoogle Scholar
  19. 19.
    Lockton, D., Harrison, D., Stanton, N.A.: The Design with Intent Toolkit (2012) ISBN 978-0-9565421-0-6Google Scholar
  20. 20.
    Lockton, D., Harrison, D., Stanton, N.A.: The Design with Intent Method: A design tool for influencing user behavior. Applied Ergonomics 41, 382–392 (2010)CrossRefGoogle Scholar
  21. 21.
    Lockton, D., Harrison, D.J., Cain, R., Stanton, N.A., Jennings, P.: Exploring Problem-framing through Behavioral Heuristics. IJ. of Design 7(1), 37–53 (2013)Google Scholar
  22. 22.
    Marcus, A.: The Health Machine: Mobile UX Design That Combines Information Design with Persuasion Design. In: Marcus, A. (ed.) HCII 2011 and DUXU 2011, Part II. LNCS, vol. 6770, pp. 598–607. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  23. 23.
    Marcus, A., Jean, J.: Going Green at Home. Information Design J. 17, 235–245 (2009)CrossRefGoogle Scholar
  24. 24.
    Michie, S., Van Stralen, M.M., West, R.: The behavior change wheel: A new method for characterising and designing behavior change interventions. Impl. Science 6 (2011)Google Scholar
  25. 25.
  26. 26.
    National Novel Writing Month,
  27. 27.
    Pagoto, S., Schneider, K., Jojic, M., Debiasse, M., Mann, D.: Evidence-Based Strategies in Weight-Loss Mobile Apps. American J. of Preventive Medicine 45, 576–582 (2013)CrossRefGoogle Scholar
  28. 28.
    Ritterband, L.M., Thorndike, F.P., Cox, D.J., Kovatchev, B.P., Gonder-Frederick, L.A.: A Behavior Change Model for Internet Interventions. Ann. of Beh. Med. 38, 18–27 (2009)CrossRefGoogle Scholar
  29. 29.
  30. 30.
  31. 31.
  32. 32.
    Webb, T.L., Joseph, J., Yardley, L., Michie, S.: Using the Internet to Promote Health Behavior Change. J. of Medical Internet Research 12 (2010)Google Scholar
  33. 33.
    Workers Education Association,
  34. 34.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paul Doney
    • 1
  • Rebecca Evans
    • 2
  • Marc Fabri
    • 1
  1. 1.Leeds Metropolitan UniversityUnited Kingdom
  2. 2.Minty Man LimitedUnited Kingdom

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