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Creating Familiarity through Adaptive Behavior Generation in Human-Agent Interaction

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Intelligent Virtual Agents (IVA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6895))

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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.

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References

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Author information

Authors and Affiliations

  1. Sociable Agents Group, CITEC, Bielefeld University, P.O. Box 10 01 31, 33501, Bielefeld, Germany

    Ramin Yaghoubzadeh & Stefan Kopp

Authors
  1. Ramin Yaghoubzadeh
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  2. Stefan Kopp
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Editor information

Editors and Affiliations

  1. School of Computer Science, Reykjavik University, Menntavegur 1, 101, Reykjavík, Iceland

    Hannes Högni Vilhjálmsson

  2. Bielefeld University, CITEC, P.O. Box 100131, 33501, Bielefeld, Germany

    Stefan Kopp

  3. Institute for Creative Technologies, University of Southern California, 12015 Waterfront Drive, 90094-2536, Playa Vista, CA, USA

    Stacy Marsella

  4. Reykjavik University, CADIA, Menntavegur 1, 101, Reykjavik, Iceland

    Kristinn R. Thórisson

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© 2011 Springer-Verlag Berlin Heidelberg

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Yaghoubzadeh, R., Kopp, S. (2011). Creating Familiarity through Adaptive Behavior Generation in Human-Agent Interaction. In: Vilhjálmsson, H.H., Kopp, S., Marsella, S., Thórisson, K.R. (eds) Intelligent Virtual Agents. IVA 2011. Lecture Notes in Computer Science(), vol 6895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23974-8_21

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  • DOI: https://doi.org/10.1007/978-3-642-23974-8_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23973-1

  • Online ISBN: 978-3-642-23974-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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