An Empathic Rational Dialog Agent

نویسندگان

  • Magalie Ochs
  • Catherine Pelachaud
  • David Sadek
چکیده

Recent research has shown that virtual agent able to express empathic emotions enhances human-machine interaction. In this paper, we present the capabilities that virtual agent should have to be empathic toward a user. Moreover, we propose a computational representation of emotions which may be experienced by a user during a human-machine dialog. This semantically grounded formal representation enables a rational dialog agent to identify from a dialogical situation the empathic emotion and its intensity that he should express.

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تاریخ انتشار 2007