Persuasive Interventions for Sustainable Travel Choices Leveraging Users’ Personality and Mobility Type

  • Evangelia Anagnostopoulou
  • Efthimios Bothos
  • Babis Magoutas
  • Johann Schrammel
  • Gregoris Mentzas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10809)


Sustainable mobility has received significant attention over the recent years due to the negative impact of peoples’ transportation habits on the environment and the society, especially in congested urban areas. In this paper, we present our approach for personalized persuasion aiming to nudge travelers to opt for sustainable mode choices. Our approach leverages persuadability profiles comprising of users’ personality and mobility type in order to identify the persuasive strategy that fits best to the user’s profile, and supports transportation decisions towards more environmental friendly routes, by providing targeted interventions in the form of persuasive messages integrated in a route planning application. A pilot study in the city of Vienna showed evidence that the application affects users’ mobility choices.


Persuasion Mobility Behavioural change Personalization 



Research reported in this paper has been partially funded by the European Commission project OPTIMUM (H2020 grant agreement no. 636160-2).


  1. 1.
    Birch, E.: A review of “climate change 2014: impacts, adaptation, and vulnerability” and “climate change 2014: mitigation of climate change”. J. Am. Plann. Assoc. 80(2), 184–185 (2014)CrossRefGoogle Scholar
  2. 2.
    Kaptein, M., Markopoulos, P., de Ruyter, B., Aarts, E.: Can you be persuaded? Individual differences in susceptibility to persuasion. In: Gross, T., Gulliksen, J., Kotzé, P., Oestreicher, L., Palanque, P., Prates, R.O., Winckler, M. (eds.) INTERACT 2009. LNCS, vol. 5726, pp. 115–118. Springer, Heidelberg (2009). Scholar
  3. 3.
    Jylhä, A., Nurmi, P., Sirén, M., Hemminki, S., Jacucci, G.: MatkaHupi: a persuasive mobile application for sustainable mobility. In: UbiComp 2013, Zurich, Switzerland (2013)Google Scholar
  4. 4.
    Reitberger, W., Ploderer, B., Obermair, C., Tscheligi, M.: The PerCues framework and its application for sustainable mobility. In: de Kort, Y., IJsselsteijn, W., Midden, C., Eggen, B., Fogg, B.J. (eds.) PERSUASIVE 2007. LNCS, vol. 4744, pp. 92–95. Springer, Heidelberg (2007). Scholar
  5. 5.
    Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., Landay, J.A.: UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1043–1052. ACM, New York (2009)Google Scholar
  6. 6.
    Franklin, V.L., Waller, A., Pagliari, C., Greene, S.A.: A randomized controlled trial of sweet talk, a text-messaging system to support young people with diabetes. Diabet. Med. 23(12), 1332–1338 (2006)CrossRefGoogle Scholar
  7. 7.
    Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.B., Jones, M.: Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging. Tobacco Control 14(4), 255–261 (2005)CrossRefGoogle Scholar
  8. 8.
    Purpura, S., Schwanda, V., Williams, K., Stubler, W., Sengers, P.: Fit4life: the design of a persuasive technology promoting healthy behavior and ideal weight. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 423–432. ACM, May 2011Google Scholar
  9. 9.
    Bothos, E., Prost, S., Schrammel, J., Röderer, K., Mentzas, G.: Watch your emissions: persuasive strategies and choice architecture for sustainable decisions in urban mobility. PsychNology J. 12(3), 107–126 (2014)Google Scholar
  10. 10.
    Anagnostopoulou, E., Magoutas, B., Bothos, E., Schrammel, J., Orji, R., Mentzas, G.: Exploring the links between persuasion, personality and mobility types in personalized mobility applications. In: de Vries, P.W., Oinas-Kukkonen, H., Siemons, L., Beerlage-de Jong, N., van Gemert-Pijnen, L. (eds.) PERSUASIVE 2017. LNCS, vol. 10171, pp. 107–118. Springer, Cham (2017). Scholar
  11. 11.
    Halko, S., Kientz, J.A.: Personality and persuasive technology: an exploratory study on health-promoting mobile applications. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 150–161. Springer, Heidelberg (2010). Scholar
  12. 12.
    Kaptein, M., van Halteren, A.: Adaptive persuasive messaging to increase service retention: using persuasion profiles to increase the effectiveness of email reminders. Pers. Ubiquit. Comput. 17(6), 1173–1185 (2013)CrossRefGoogle Scholar
  13. 13.
    Rammstedt, B., Goldberg, L.R., Borg, I.: The measurement equivalence of big-five factor markers for persons with different levels of education. J. Res. Pers. 44(1), 53–61 (2010)CrossRefGoogle Scholar
  14. 14.
    Tayali, H.A., Timor, M.: Ranking with Statistical Variance Procedure Based Analytic Hierarchy Process (2017)Google Scholar
  15. 15.
    Gabrielli, S., Maimone, R.: Digital interventions for sustainable urban mobility: a pilot study. In: UbiComp 2013, Zurich, Switzerland (2013)Google Scholar
  16. 16.
    Kaptein, M., Markopoulos, P., De Ruyter, B., Aarts, E.: Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles. Int. J. Hum. Comput. Stud. 77, 38–51 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Evangelia Anagnostopoulou
    • 1
  • Efthimios Bothos
    • 1
  • Babis Magoutas
    • 1
  • Johann Schrammel
    • 2
  • Gregoris Mentzas
    • 1
  1. 1.ICCS - Institute of Communication and Computer SystemsNTUA - National Technical University of AthensAthensGreece
  2. 2.AIT – Austrian Institute of TechnologyViennaAustria

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