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Integrating Conversation Trees and Cognitive Models Within an ECA for Aggression De-escalation Training

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PRIMA 2015: Principles and Practice of Multi-Agent Systems (PRIMA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9387))

Abstract

Traditionally, Embodied Conversational Agents communicate with humans using dialogue systems based on conversation trees. To enhance the flexibility and variability of dialogues, this paper proposes an approach to integrate conversation trees with cognitive models. The approach is illustrated by a case study in the domain of aggression de-escalation training, and a preliminary evaluation in the context of a practical application is presented.

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Author information

Authors and Affiliations

  1. Department of Computer Science, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Tibor Bosse & Simon Provoost

  2. Department of Training and Performance Innovations, TNO, Kampweg 5, 3769 DE, Soesterberg, The Netherlands

    Tibor Bosse

Authors
  1. Tibor Bosse
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  2. Simon Provoost
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Corresponding author

Correspondence to Tibor Bosse .

Editor information

Editors and Affiliations

  1. Jinan University, Guangzhou, China

    Qingliang Chen

  2. Università di Bologna, Bologna, Italy

    Paolo Torroni

  3. Inria - Sophia Antipolis-Méditerran, Sophia Antipolis, France

    Serena Villata

  4. National Taiwan University, Taipei, Taiwan

    Jane Hsu

  5. Università di Bologna, Bologna, Italy

    Andrea Omicini

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© 2015 Springer International Publishing Switzerland

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Bosse, T., Provoost, S. (2015). Integrating Conversation Trees and Cognitive Models Within an ECA for Aggression De-escalation Training. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_48

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  • DOI: https://doi.org/10.1007/978-3-319-25524-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25523-1

  • Online ISBN: 978-3-319-25524-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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