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Communication Dans Un Congrès Année : 2013

An Evaluation of the COR-E Computational Model for Affective Behaviors

Sabrina Campano
  • Fonction : Auteur
  • PersonId : 977643
Nicolas Sabouret
Etienne de Sevin
  • Fonction : Auteur
  • PersonId : 1239307
  • IdHAL : edesevin
Vincent Corruble

Résumé

The simulation of believable behaviors for virtual agents requires to take human factors such as emotions into account. Most computational models dealing with this issue include emotion categories in their architecture. However, deter- mining categories to use and their influence on behavior is a difficult task. In order to address this challenge, our COR- E model uses an architecture without emotion categories. In this paper, we present an evaluation of this model in the context of a waiting line scenario. We show that COR-E can produce believable emotional behaviors, and test the contri- butions of the various components and characteristics of its architecture to these positive results
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Dates et versions

hal-01559231 , version 1 (10-07-2017)

Identifiants

  • HAL Id : hal-01559231 , version 1

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Sabrina Campano, Nicolas Sabouret, Etienne de Sevin, Vincent Corruble. An Evaluation of the COR-E Computational Model for Affective Behaviors. 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), IFAAMAS, May 2013, Saint-Paul, Minnesota, United States. ⟨hal-01559231⟩
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