A dominance estimation mechanism using eye-gaze and turn-taking information

  • Authors:
  • Misato Yatsushiro;Naoya Ikeda;Yuki Hayashi;Yukiko I. Nakano

  • Affiliations:
  • Seikei University, Tokyo, Japan;Seikei University, Tokyo, Japan;Seikei University, Tokyo, Japan;Seikei University, Tokyo, Japan

  • Venue:
  • Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction
  • Year:
  • 2013

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Abstract

With a goal of contributing to multiparty conversation management, this paper proposes a mechanism for estimating conversational dominance in group interaction. Based on our corpus analysis, we have already established a regression model for dominance estimation using speech and gaze information. In this study, we implement the model as a dominance estimation mechanism, and propose an idea of utilizing the mechanism in moderating multiparty conversations between a conversational robot and three human users. The system decides whom the system should talk to based on the dominance level of each user.