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Putting the Long-Term into Behavior Change

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Games and Learning Alliance (GALA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11385))

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Abstract

Behavior change is a topic that is of great interest to many people. People can use apps to exercise more, eat healthier, or learn a new skill, but and digital interventions and games are also used by policy makers and companies to create a safe environment for the general public or to increase sales. Given this interest in behavior change, it is not surprising that this topic has seen a lot of interest from the scientific community. This has resulted in a wide range of theories and techniques to bring about behavior change. However, maintaining behavior change is rarely addressed, and as a result poorly understood. In this paper, we take a first step in the design of digital interventions for long-term behavior change by placing a range of behavior change techniques on a long-term behavior change timeline.

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References

  1. Allen, K.: Chronic nailbiting: a controlled comparison of competing response and mild aversion treatments. Behav. Res. Ther. 34(3), 269–272 (1996)

    Article  Google Scholar 

  2. Anderson, B., Jenkins, J., Vance, A., Kirwan, C., Eargle, D.: Your memory is working against you: how eye tracking and memory explain habituation to security warnings. Decis. Support Syst. 92, 3–13 (2016)

    Article  Google Scholar 

  3. Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 191–215 (1977)

    Article  Google Scholar 

  4. Bandura, A., Cervone, D.: Differential engagement of self-reactive influences in cognitive motivation. Organ. Behav. Hum. Decis. Process. 38(1), 92–113 (1986)

    Article  Google Scholar 

  5. Bouton, M.: Why behavior change is difficult to sustain. Prev. Med. 68, 29–36 (2014)

    Article  Google Scholar 

  6. Burch, N.: The Four Stages for Learning Any New Skill. Gordon Training International, Solana Beach (1970)

    Google Scholar 

  7. Cameirão, M., i Badia, S., Zimmerli, L., Oller, E., Verschure, P.: The rehabilitation gaming system: a virtual reality based system for the evaluation and rehabilitation of motor deficits. In: Virtual Rehabilitation, pp. 29–33 (2007)

    Google Scholar 

  8. Carraro, N., Gaudreau, P.: Spontaneous and experimentally induced action planning and coping planning for physical activity: a meta-analysis. Psychol. Sport Exerc. 14(2), 228–248 (2013)

    Article  Google Scholar 

  9. Conroy, D., Yang, C., Maher, J.: Behavior change techniques in top-ranked mobile apps for physical activity. Am. J. Prev. Med. 46(6), 649–652 (2014)

    Article  Google Scholar 

  10. Gardner, B.: Habit as automaticity, not frequency. Eur. Health Psychol. 14(2), 32–36 (2012)

    Google Scholar 

  11. Gneezy, U., Rustichini, A.: A fine is a price. J. Leg. Stud. 29(1), 1–17 (2000)

    Article  Google Scholar 

  12. Gourlan, M., et al.: Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health Psychol. Rev. 10(1), 50–66 (2016)

    Article  Google Scholar 

  13. Heyman, J., Ariely, D.: Effort for payment: a tale of two markets. Psychol. Sci. 15(11), 787–793 (2004)

    Article  Google Scholar 

  14. Karppinen, P., et al.: Persuasive user experiences of a health Behavior Change Support System: a 12-month study for prevention of metabolic syndrome. Int. J. Med. Inform. 96, 51–61 (2016)

    Article  Google Scholar 

  15. Kessels, L., Ruiter, R., Wouters, L., Jansma, B.: Neuroscientific evidence for defensive avoidance of fear appeals. Int. J. Psychol. 49(2), 80–88 (2014)

    Article  Google Scholar 

  16. Kim, T., Werbach, K.: More than just a game: ethical issues in gamification. Ethics Inf. Technol. 18(2), 157–173 (2016)

    Article  Google Scholar 

  17. Kraiger, K., Ford, J., Salas, E.: Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. J. Appl. Psychol. 78(2), 311–328 (1993)

    Article  Google Scholar 

  18. Kwasnicka, D., Dombrowski, S., White, M., Sniehotta, F.: Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol. Rev. 10(3), 277–296 (2016)

    Article  Google Scholar 

  19. Lawpoolsri, S., Li, J., Braver, E.: Do speeding tickets reduce the likelihood of receiving subsequent speeding tickets? A longitudinal study of speeding violators in Maryland. Traffic Inj. Prev. 8(1), 26–34 (2007)

    Article  Google Scholar 

  20. Lazar, A., Koehler, C., Tanenbaum, J., Nguyen, D.: Why we use and abandon smart devices. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 635–646 (2015)

    Google Scholar 

  21. Ma, F., et al.: Promoting honesty in young children through observational learning. J. Exp. Child Psychol. 167, 234–245 (2018)

    Article  Google Scholar 

  22. Michie, S., van Stralen, M., West, R.: The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement. Sci. 6(1), 42 (2011)

    Article  Google Scholar 

  23. Michie, S., et al.: The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann. Behav. Med. 46(1), 81–95 (2013)

    Article  Google Scholar 

  24. Nettle, D., Harper, Z., Kidson, A., Stone, R., Penton-Voak, I., Bateson, M.: The watching eyes effect in the Dictator Game: it’s not how much you give, it’s being seen to give something. Evol. Hum. Behav. 34(1), 35–40 (2013)

    Article  Google Scholar 

  25. Nolan, J., Schultz, P., Cialdini, R., Goldstein, N., Griskevicius, V.: Normative social influence is underdetected. Pers. Soc. Psychol. Bull. 34(7), 913–923 (2008)

    Article  Google Scholar 

  26. Orbell, S., Verplanken, B.: The automatic component of habit in health behavior: habit as cue-contingent automaticity. Health Psychol. 29(4), 374–383 (2010)

    Article  Google Scholar 

  27. Ploderer, B., Smith, W., Pearce, J., Borland, R.: A mobile app offering distractions and tips to cope with cigarette craving: a qualitative study. JMIR mHealth uHealth 2(2), e23 (2014)

    Article  Google Scholar 

  28. van den Putte, B., Yzer, M., Willemsen, M., de Bruijn, G.: The effects of smoking self-identity and quitting self-identity on attempts to quit smoking. Health Psychol. 28(5), 535–544 (2009)

    Article  Google Scholar 

  29. Schunk, D., Hanson, A.: Peer models: influence on children’s self-efficacy and achievement. J. Educ. Psychol. 77(3), 313–322 (1985)

    Article  Google Scholar 

  30. Shih, P., Han, K., Poole, E., Rosson, M., Carroll, J.: Use and adoption challenges of wearable activity trackers. In: iConference 2015 Proceedings (2015)

    Google Scholar 

  31. Sohn, T., Li, K.A., Lee, G., Smith, I., Scott, J., Griswold, W.G.: Place-its: a study of location-based reminders on mobile phones. In: Beigl, M., Intille, S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 232–250. Springer, Heidelberg (2005). https://doi.org/10.1007/11551201_14

    Chapter  Google Scholar 

  32. Stawarz, K., Cox, A., Blandford, A.: Beyond self-tracking and reminders: designing smartphone apps that support habit formation. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 2653–2662. ACM (2015)

    Google Scholar 

  33. Tannenbaum, M., et al.: Appealing to fear: a meta-analysis of fear appeal effectiveness and theories. Psychol. Bull. 141(6), 1178–1204 (2015)

    Article  Google Scholar 

  34. Ubel, P., Jepson, C., Baron, J.: The inclusion of patient testimonials in decision aids: effects on treatment choices. Med. Decis. Making 21(1), 60–68 (2001)

    Article  Google Scholar 

  35. Webb, T., Joseph, J., Yardley, L., Michie, S.: Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J. Med. Internet Res. 12(1), e4 (2010)

    Article  Google Scholar 

  36. WeWantToKnow (2011). Dragonbox Algebra. http://dragonbox.com

  37. Wildeboer, G., Kelders, S., van Gemert-Pijnen, J.: The relationship between persuasive technology principles, adherence and effect of web-based interventions for mental health: a meta-analysis. Int. J. Med. Inform. 96, 71–85 (2016)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Research Group User-Centered Design, Hanze University of Applied Sciences, Groningen, The Netherlands

    Harmen de Weerd & Nick Degens

Authors
  1. Harmen de Weerd
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  2. Nick Degens
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Corresponding author

Correspondence to Harmen de Weerd .

Editor information

Editors and Affiliations

  1. Institute for Educational Technology - National Research Council of Italy (ITD-CNR), Palermo, Italy

    Manuel Gentile

  2. Institute for Educational Technology - National Research Council of Italy (ITD-CNR), Palermo, Italy

    Mario Allegra

  3. Bauhaus-Universität, Weimar, Germany

    Heinrich Söbke

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de Weerd, H., Degens, N. (2019). Putting the Long-Term into Behavior Change. In: Gentile, M., Allegra, M., Söbke, H. (eds) Games and Learning Alliance. GALA 2018. Lecture Notes in Computer Science(), vol 11385. Springer, Cham. https://doi.org/10.1007/978-3-030-11548-7_7

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  • DOI: https://doi.org/10.1007/978-3-030-11548-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11547-0

  • Online ISBN: 978-3-030-11548-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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