MUV: A game to encourage sustainable mobility habits

Salvatore Di Dio, Andrea Vesco, Brunella Caroleo, Enza Lissandrello, Salvatore Di Dio, Domenico Schillaci, Ingwio D’Hespeel

Risultato della ricerca: Conference contribution

4 Citazioni (Scopus)

Abstract

This working paper investigates the question of changing people mobility towards more sustainable habits involving them in an engaging gameplay. The work is performed within MUV H2020 research and innovation action. The game design, definition and features have been co-created through the involvement of different citizens and stakeholders in six European neighbourhoods. The paper discusses the game design as resulting from co-creation and co-design experiences with each neighbourhood communities involved in initial phases. The paper argues that the local co-design activities have influenced the game definition, together with the community engagement approach. The MUV gameplay approach results thus a demand-side measure able to encouraging people to sustainable mobility modes in the awareness of their potential role as agents of urban livability. The data collected by the players will be used to support a citizen-centric approach to facilitate equity and mobility justice in urban policies.
Lingua originaleEnglish
Titolo della pubblicazione ospiteGames and Learning Alliance
Pagine60-70
Numero di pagine11
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomeLECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
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