Towards Finding Windows of Opportunity for Ubiquitous Healthy Eating Interventions

  • Nađa TerzimehićEmail author
  • Christina Schneegass
  • Heinrich Hussmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10809)


Persuasion towards healthier eating decisions is a challenging field of research, depending on various internal and external factors. Recent advances in sensor-enriched mobile devices and wearables enable persuasive techniques to predict and influence people’s food decisions. One such technique, just-in-time adaptive interventions (JITAIs), provide users with personalized and situation-related content and thus, exploit windows of high user receptiveness for persuasion. This work’s aim is to shed light on context characteristics of such windows by analyzing 469 meal decisions as well as relating in-depth interviews on eating behaviour. We derive and describe four interesting windows in which JITAI’s could be effective: (1) Lack of Alternatives, (2) Unawareness of Alternatives, (3) Evening Cravings, and (4) Social Pressure. On the basis of these situations, we postulate recommendations for timing and content of JITAIs for healthy eating. We plan to use the findings to implement and evaluate ubiquitous nutrition-supportive interventions in the future.


Persuasive technologies Just-in-time interventions Context mHealth User-centered design 


  1. 1.
    Baker, S.: College cuisine makes mother cringe. Am. Demogr. 13, 10–11 (1991)Google Scholar
  2. 2.
    Basten, F., Ham, J., Midden, C., Gamberini, L., Spagnolli, A.: Does trigger location matter? The influence of localization and motivation on the persuasiveness of mobile purchase recommendations. In: MacTavish, T., Basapur, S. (eds.) PERSUASIVE 2015. LNCS, vol. 9072, pp. 121–132. Springer, Cham (2015). Scholar
  3. 3.
    Bentley, F., Tollmar, K., Stephenson, P., Levy, L., Jones, B., Robertson, S., Price, E., Catrambone, R., Wilson, J.: Health mashups: presenting statistical patterns between wellbeing data and context in natural language to promote behavior change. TOCHI 20(5), 30 (2013)CrossRefGoogle Scholar
  4. 4.
    Beyer, H., Holtzblatt, K.: Contextual Design: Defining Customer-Centered Systems. Morgan Kaufmann Publishers Inc., San Francisco (1997)Google Scholar
  5. 5.
    Campbell, J.L., Quincy, C., Osserman, J., Pedersen, O.K.: Coding in-depth semistructured interviews: problems of unitization and intercoder reliability and agreement. Sociol. Methods Res. 42(3), 294–320 (2013)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Carroll, E.A., Czerwinski, M., Roseway, A., Kapoor, A., Johns, P., Rowan, K., Schraefel, M.: Food and mood: just-in-time support for emotional eating. In: Proceedings of the ACII 2013, pp. 252–257. IEEE (2013)Google Scholar
  7. 7.
    Cordeiro, F., Bales, E., Cherry, E., Fogarty, J.: Rethinking the mobile food journal: exploring opportunities for lightweight photo-based capture. In: Proceedings of the CHI 2015. ACM (2015)Google Scholar
  8. 8.
    Fogg, B.J.: Persuasive Technology: Using Computers to Change what We Think and Do. Interactive Technologies. Morgan Kaufmann Publishers (2003). ISBN: 9781558606432, ICCN: 2002110617.
  9. 9.
    Gilhooly, C., Das, S., Golden, J., McCrory, M., Dallal, G., Saltzman, E., Kramer, F., Roberts, S.: Food cravings and energy regulation: the characteristics of craved foods and their relationship with eating behaviors and weight change during 6 months of dietary energy restriction. Int. J. Obes. 31(12), 1849–1858 (2007)CrossRefGoogle Scholar
  10. 10.
    Ham, J., van Schendel, J., Koldijk, S., Demerouti, E.: Finding kairos: the influence of context-based timing on compliance with well-being triggers. In: Gamberini, L., Spagnolli, A., Jacucci, G., Blankertz, B., Freeman, J. (eds.) Symbiotic 2016. LNCS, vol. 9961, pp. 89–101. Springer, Cham (2017). Scholar
  11. 11.
    World Cancer Research Fund International: The link between food, nutrition, diet and non-communicable diseases (2014).
  12. 12.
    Lehto, T., Oinas-Kukkonen, H.: Persuasive features in six weight loss websites: a qualitative evaluation. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 162–173. Springer, Heidelberg (2010). Scholar
  13. 13.
    Panofsky, E.: Studies in Iconology, vol. 198. Harper & Row, New York (1962)Google Scholar
  14. 14.
    Paulhus, D.L., Vazire, S.: The self-report method. Handb. Res. Methods Pers. Psychol. 1, 224–239 (2007)Google Scholar
  15. 15.
    Prochaska, J.O.: Transtheoretical model of behavior change. In: Gellman, M.D., Turner, J.R. (eds.) Encyclopedia of Behavioral Medicine, pp. 1997–2000. Springer, New York (2013). Scholar
  16. 16.
    Rahman, T., Czerwinski, M., Gilad-Bachrach, R., Johns, P.: Predicting about-to-eat moments for just-in-time eating intervention. In: Proceedings of the Digital Health 2016, pp. 141–150. ACM (2016)Google Scholar
  17. 17.
    Räisänen, T., Oinas-Kukkonen, H., Pahnila, S.: Finding kairos in quitting smoking: smokers’ perceptions of warning pictures. In: Oinas-Kukkonen, H., Hasle, P., Harjumaa, M., Segerståhl, K., Øhrstrøm, P. (eds.) PERSUASIVE 2008. LNCS, vol. 5033, pp. 254–257. Springer, Heidelberg (2008). Scholar
  18. 18.
    Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)CrossRefGoogle Scholar
  19. 19.
    Spruijt-Metz, D., Wen, C.K., O’Reilly, G., Li, M., Lee, S., Emken, B., Mitra, U., Annavaram, M., Ragusa, G., Narayanan, S.: Innovations in the use of interactive technology to support weight management. Curr. Obes. Rep. 4(4), 510–519 (2015)CrossRefGoogle Scholar
  20. 20.
    Stroebele, N., De Castro, J.M.: Effect of ambience on food intake and food choice. Nutrition 20(9), 821–838 (2004)CrossRefGoogle Scholar
  21. 21.
    Tourangeau, R., Yan, T.: Sensitive questions in surveys. Psychol. Bull. 133(5), 859 (2007)CrossRefGoogle Scholar
  22. 22.
    Wansink, B., Johnson, K.A.: The clean plate club: about 92% of self-served food is eaten. Int. J. Obes. 39(2), 371–374 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nađa Terzimehić
    • 1
    Email author
  • Christina Schneegass
    • 1
  • Heinrich Hussmann
    • 1
  1. 1.Media Informatics GroupLMU MunichMunichGermany

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