Conversational Behavior Reflecting Interpersonal Attitudes in Small Group Interactions

  • Brian Ravenet
  • Angelo Cafaro
  • Beatrice Biancardi
  • Magalie Ochs
  • Catherine Pelachaud
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9238)

Abstract

In this paper we propose a computational model for the real time generation of nonverbal behaviors supporting the expression of interpersonal attitudes for turn-taking strategies and group formation in multi-party conversations among embodied conversational agents. Starting from the desired attitudes that an agent aims to express towards every other participant, our model produces the nonverbal behavior that should be exhibited in real time to convey such attitudes while managing the group formation and attempting to accomplish the agent’s own turn-taking strategy. We also propose an evaluation protocol for similar multi-agent configurations. We conducted a study following this protocol to evaluate our model. Results showed that subjects properly recognized the attitudes expressed by the agents through their nonverbal behavior and turn taking strategies generated by our system.

Keywords

Nonverbal Behavior Body Orientation Group Engagement Virtual Agent Repeated Measure MANOVA 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was partially was performed within the Labex SMART (ANR-11-LABX-65) supported by French state funds managed by the ANR within the Investissements d’Avenir programme under reference ANR-11-IDEX-0004-02. It has also been partially funded by the French National Research Agency project MOCA (ANR-12-CORD-019) and by the H2020 European project ARIA-VALUSPA.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Brian Ravenet
    • 1
  • Angelo Cafaro
    • 2
  • Beatrice Biancardi
    • 2
  • Magalie Ochs
    • 3
  • Catherine Pelachaud
    • 2
  1. 1.Institut Mines-TélécomTélécom ParisTech, CNRS-LTCIParisFrance
  2. 2.Télécom ParisTech, CNRS-LTCIParisFrance
  3. 3.Aix Marseille Université, CNRS, ENSAM, Université de Toulon, LSIS UMR7296MarseilleFrance

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