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Creating Familiarity through Adaptive Behavior Generation in Human-Agent Interaction

  • Ramin Yaghoubzadeh
  • Stefan Kopp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6895)

Abstract

Embodied conversational agents should make use of an adaptive behavior generation mechanism which is able to gradually refine its repertoire to behaviors the individual user understands and accepts. We present a probabilistic model that takes into account possible socio-communicative effects of utterances while selecting the behavioral form.

Keywords

Behavior generation Familiarity Addressee design Personalized communication Adaptivity Social intentions 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ramin Yaghoubzadeh
    • 1
  • Stefan Kopp
    • 1
  1. 1.Sociable Agents Group, CITECBielefeld UniversityBielefeldGermany

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