Extraction de comportements pour l'étude de la crédibilité des agents

This paper presents an evaluation method for behavioral credibility in multi-agent simulation. It is based on automatic clusters extraction of behaviors in a participatory simulation. Our method combines two approaches. The first one is qualitative and uses questionnaires to evaluate user categories in the simulation device. The second one carries out the quantitative behavior data collection in order to automatically build behavior clusters. We then study the correlation between user categories and behavior clusters. Afterwards, relying on user categories, we compare human behaviors to agent ones in order to evaluate agent credibility. We show how our method can be used in the immersive driving simulator field.

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