Laboratoire d'Informatique de Grenoble Équipe Ingénierie de l'Interaction Homme-Machine

Équipe Ingénierie de l'Interaction
Homme-Machine

ProSPer: a MOST model extension applied to persuasive interactive system

In Proceedings of British HCI 2016 Conference (HCI 2016). 3 pages. 2016.

Alessandro Fenicio, Gaëlle Calvary, Yann Laurillau, Jean Vanderdonckt

Résumé

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.