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Modélisation de la prise de décision d'un agent conversationnel animé en fonction de son attitude sociale

Abstract : To be perceived as believable partners in human-machine interactions, virtual agents have to express adequate social attitudes. The social attitude expressed by an agent should reflect the social situation of the interaction. The agent ought to take into account its role and its social relation toward its interactants when deciding how to react in the interaction. To build such an agent able to reason about its role and relation and to adapt its social attitude, we built a model of social decision making. First, we formalized the dynamics of the social relation through a combination of goals and beliefs. Then, we designed a decision making model based on the social goals and the situational goals of the agent. Finally, we conducted an empirical study in the context of virtual tutor-child interaction where participants evaluated the tutor’s perceived social attitude towards the child while the tutor’s social role and relation were manipulated by our model. Results showed that both role and social relation have an influence on the agent’s perceived social attitude.
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https://pastel.archives-ouvertes.fr/tel-03752348
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Submitted on : Tuesday, August 16, 2022 - 4:00:12 PM
Last modification on : Thursday, August 18, 2022 - 3:26:26 AM

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  • HAL Id : tel-03752348, version 1

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Florian Pecune. Modélisation de la prise de décision d'un agent conversationnel animé en fonction de son attitude sociale. Intelligence artificielle [cs.AI]. Télécom ParisTech, 2016. Français. ⟨NNT : 2016ENST0054⟩. ⟨tel-03752348⟩

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