From a User-created Corpus of Virtual Agent’s Non-verbal Behavior to a Computational Model of Interpersonal Attitudes

Brian Ravenet (1) , Magalie Ochs (1) , Catherine Pelachaud (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information

Human's non-verbal behavior may convey different meanings. They can reflect one's emotional states, communicative intentions but also his social relations with someone else, i.e. his interpersonal attitude. In order to determine the non-verbal behavior that a virtual agent should display to convey particular interpersonal attitudes, we have collected a corpus of virtual agent's non-verbal behavior directly created by users. Based on the analysis of the corpus, we propose a Bayesian model to automatically compute the virtual agent's non-verbal behavior conveying interpersonal attitudes.

Domaines: Interface homme-machine [cs.HC]; Intelligence artificielle [cs.AI]

Brian Ravenet, Magalie Ochs, Catherine Pelachaud. From a User-created Corpus of Virtual Agent’s Non-verbal Behavior to a Computational Model of Interpersonal Attitudes. Intelligent Virtual Agent, Aug 2013, Edimbourg, United Kingdom. ⟨10.1007/978-3-642-40415-3_23⟩. ⟨hal-01131400⟩