Designing motivational features for sustainable urban mobility

Silvia Gabrielli, Rosa Maimone, Paula Forbes, Judith Masthoff, Simon Wells, Laura Primerano, Laura Haverinen, Giancarlo Bo, Marco Pompa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

This paper describes the User-Centred Design process followed within the SUPERHUB project in order to investigate requirements, elicit user feedback and refine motivational features of a mobile app fostering the adoption of sustainable behaviors for urban mobility. We report the main lessons learnt from focus groups, participatory design sessions, and low-mid fidelity prototyping of the motivational features designed. These lessons are currently informing our implementation work in SUPERHUB and could be of interest for designers in the eco-sustainability field.

Original languageEnglish
Title of host publicationCHI '13 Extended Abstracts on Human Factors in Computing Systems
EditorsPatrick Baudisch, Michel Beaudouin-Lafon, Wendy E. Mackay
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1461-1466
Number of pages6
ISBN (Print)9781450318990, 9781450319522
DOIs
Publication statusPublished - 27 Apr 2013
Externally publishedYes
Event31st Annual CHI Conference on Human Factors in Computing Systems: Changing perspectives - Palais de Congrès de Paris, Paris, France
Duration: 27 Apr 20132 May 2013
Conference number: 31
http://chi2013.acm.org/

Conference

Conference31st Annual CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2013
CountryFrance
CityParis
Period27/04/132/05/13
Internet address

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Cite this

Gabrielli, S., Maimone, R., Forbes, P., Masthoff, J., Wells, S., Primerano, L., Haverinen, L., Bo, G., & Pompa, M. (2013). Designing motivational features for sustainable urban mobility. In P. Baudisch, M. Beaudouin-Lafon, & W. E. Mackay (Eds.), CHI '13 Extended Abstracts on Human Factors in Computing Systems (pp. 1461-1466). Association for Computing Machinery (ACM). https://doi.org/10.1145/2468356.2468617