Communicative humanoids: a computational model of psychosocial dialogue skills
Communicative humanoids: a computational model of psychosocial dialogue skills
Natural behavior of a listening agent
Lecture Notes in Computer Science
Incremental Multimodal Feedback for Conversational Agents
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
A Listening Agent Exhibiting Variable Behaviour
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
A Model of Personality and Emotional Traits
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Real-Time Backchannel Selection for ECAs According to User's Level of Interest
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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Our aim is to build a real-time Embodied Conversational Agent able to act as an interlocutor in interaction, generating automatically verbal and non verbal signals. These signals, called backchannels, provide information about the listener's mental state towards the perceived speech. The ECA reacts differently to user's behavior depending on its predefined personality. Personality influences the generation and the selection of backchannels. In this paper, we propose a listener's action selection algorithm working in real-time to choose the type and the frequency of backchannels to be displayed by the ECA in accordance with its personality. The algorithm is based on the extroversion and neuroticism dimensions of personality. We present an evaluation on how backchanels managed by this algorithm are congruent with intuitive expectations of participants in terms of behavior specific to different personalities.