Research Output

Towards using Segmentation-based Techniques to Personalize Mobility Behavior Interventions

  This paper describes our initial work towards a segmentation-based approach to personalized digital behavior change interventions in the domain of sustainable, multi-modal urban transport. Segmentation is a key concept in market research, and within the transport domain Anable has argued that there are segments of travelers that are relatively homogenous in terms of their mobility attitudes and behaviors. We describe an approach aimed at tailoring behavior change notifications by using segmentation-based techniques for user profiling. We report results from a Mechanical Turk study in which we obtained a crowd-sourced categorization of motivational messages. This is a first step towards understanding how to better deliver persuasive messages to relevant users profiles and situational contexts in the urban mobility domain. We conclude by discussing future steps of our work that should inform the deployment of persuasion profiling techniques to achieve sustainable mobility goals.

  • Date:

    27 May 2014

  • Publication Status:

    Published

  • Library of Congress:

    QA75 Electronic computers. Computer science

Citation

Forbes, P. J., Gabrielli, S., Maimone, R., Masthoff, J., Wells, S. & Jylha, A. (2014). Towards using Segmentation-based Techniques to Personalize Mobility Behavior Interventions

Authors

Keywords

Personalized digital behaviour; multi-modal urban transport; segmentation; persuasion profiling techniques;

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