Towards using Segmentation-based Techniques to Personalize Mobility Behavior Interventions

Forbes, Paula J; Gabrielli, Silvia; Maimone, Rosa; Masthoff, Judith; Wells, Simon; Jylha, Antti

Abstract

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.

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.

• Start Date: Nov 27, 2014
• End Date: Nov 30, 2014
• Publication Date: May 27, 2014
• Deposit Date: Apr 14, 2015
• Publicly Available Date: Apr 14, 2015
• Peer Reviewed: Peer Reviewed
• Keywords: Personalized digital behaviour; multi-modal urban transport; segmentation; persuasion profiling techniques
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/7753