ProSPer: a MOST model extension applied to persuasive interactive systems

Fenicio, Alessandro;Calvary, Gaëlle;Laurillau, Yann;Vanderdonckt, Jean
(2016) 30th British Human Computer Interaction Conference BHCI’2016 — Location: Bournemouth (11.July.2016)

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Authors
  • Fenicio, AlessandroUniversité Grenoble Alpes
    Author
  • Calvary, GaëlleUniversité Grenoble Alpes
    Author
  • Laurillau, YannUniversité Grenoble Alpes
    Author
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Abstract
Developing persuasive interactive system faces the challenge of describing multiple-domain goals to be achieved, along with an context-aware driving of persuasion. We developed ProSPer, a model capable of dealing with this challenges and we implemented two experiments using an Android application and a selfmonitoring bracelet. The preliminary results shows that participants understood and applied effectively the model, giving further design prospectives of research and development
Affiliations
  • Louvain School of ManagementOperations and Information

Citations

Fenicio, A., Calvary, G., Laurillau, Y., & Vanderdonckt, J. (2016). ProSPer: a MOST model extension applied to persuasive interactive systems. In Shamal Faily, Nan Jiang, Huseyin Dogan, and Jacqui Taylor (ed.), Proceedings of 30th British Human Computer Interaction Conference BHCI’2016. https://hdl.handle.net/2078.5/221202