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Multiparty Interactions for Coordination in a Mixed Human-Agent Teamwork

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Intelligent Virtual Agents (IVA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10498))

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Abstract

Virtual environments for human learning enable one or more users to interact with virtual agents in order to perform their tasks. This collaboration necessitates that the members of the team share a set of beliefs and reason about resources, plans and actions to be implemented. This article introduces a new multiparty coordination model allowing several virtual and human agents to dialogue and reason about the tasks that the user must learn. The proposed model relies on a shared plan based approach to represent the beliefs of the team members. The management of the multiparty aspect makes it possible to differentiate the behaviors to be produced according to the type of receiver of a communication: recipient or listener. Finally, in the context of learning a procedural activity, a study examines the effect of our multiparty model on a learner. Results show that the use of proactive pedagogical agents with multiparty competencies boosts the construction of common beliefs.

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Authors and Affiliations

  1. Normandie Univ, INSA Rouen, LITIS, 76000, Rouen, France

    Mukesh Barange, Julien Saunier & Alexandre Pauchet

Authors
  1. Mukesh Barange
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  2. Julien Saunier
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  3. Alexandre Pauchet
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Corresponding author

Correspondence to Mukesh Barange .

Editor information

Editors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Jonas Beskow

  2. KTH Royal Institute of Technology, Stockholm, Sweden

    Christopher Peters

  3. Uppsala University, Uppsala, Sweden

    Ginevra Castellano

  4. Trinity College, Dublin, Ireland

    Carol O'Sullivan

  5. KTH Royal Institute of Technology, Stockholm, Sweden

    Iolanda Leite

  6. University of Bielefeld, Bielefeld, Germany

    Stefan Kopp

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Barange, M., Saunier, J., Pauchet, A. (2017). Multiparty Interactions for Coordination in a Mixed Human-Agent Teamwork. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-67401-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67400-1

  • Online ISBN: 978-3-319-67401-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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