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From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot

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Natural Interaction with Robots, Knowbots and Smartphones

Abstract

A lot of progress have been made in the domain of human-machine dialogue, but it is still a real challenge and, most often, only informative cooperative kind of dialogues are explored. This paper tries to explore the ability of a robot to create and maintain a long-term social relationship through more advanced dialogue techniques. We expose the social (Goffman), psychological (Scherer) and neural (Mountcastle) theories used to accomplish such kind of complex social interactions. From these theories, we build a consistent model, computationally efficient to create a robot that can understand the concept of lying and have compassion: a robotic social companion.

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Author information

Authors and Affiliations

  1. Spir.Ops, 8 passage de la bonne graine, CNAM CEDRIC, 292 rue St Martin, 75003, Paris, France

    Axel Buendia

  2. Department of Human-Machine Interaction, LIMSI-CNRS, University Paris-Sorbonne 4, Orsay cedex, France

    Laurence Devillers

Authors
  1. Axel Buendia
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  2. Laurence Devillers
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Corresponding author

Correspondence to Axel Buendia .

Editor information

Editors and Affiliations

  1. IMMI-CNRS, Orsay, France

    Joseph Mariani

  2. LIMSI-CNRS, Orsay, France

    Sophie Rosset

  3. IMMI-CNRS, Orsay, France

    Martine Garnier-Rizet

  4. LIMSI-CNRS, Orsay, France

    Laurence Devillers

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Buendia, A., Devillers, L. (2014). From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot. In: Mariani, J., Rosset, S., Garnier-Rizet, M., Devillers, L. (eds) Natural Interaction with Robots, Knowbots and Smartphones. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8280-2_13

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  • DOI: https://doi.org/10.1007/978-1-4614-8280-2_13

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8279-6

  • Online ISBN: 978-1-4614-8280-2

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