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Conference Papers Year : 2016

ProSPer: a MOST model extension applied to persuasive interactive system

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.
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Dates and versions

hal-01492642 , version 1 (20-03-2017)

Identifiers

  • HAL Id : hal-01492642 , version 1

Cite

Alessandro Fenicio, Gaëlle Calvary, Yann Laurillau, Jean Vanderdonckt. ProSPer: a MOST model extension applied to persuasive interactive system. Proceedings of British HCI 2016 Conference (HCI 2016), 2016, Bournemouth, UK, United Kingdom. pp.3. ⟨hal-01492642⟩
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