A Methodology to Design Human-Like Embodied Conversational Agents
Résumé
This paper presents a bottom-up methodology to study human-human and human-agent dialogues in order to improve the design of embodied conversational agents (ECAs). The methodology uses a matrix representation of dialogues, constructed by means of a (semi-)automatic annotation process. A multidimensional dialogue pattern extraction and a clustering algorithm are applied to the coding matrices. The extracted patterns model the human behaviours.
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2012-dubuisson_duplessis-A-Methodology-to-Design-Human-Like-Embodied-Conversational-Agents-based-on-Dialogue-Analysis.pdf (539.43 Ko)
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