Title Coordinating Turn-Taking and Talking in Multi-Party Conversations by Controlling a Robot's Eye-Gaze
Authors Ryo Sato (Shizuoka University)
Yugo Takeuchi (Shizuoka University)
Abstract This study realizes smooth turn-taking and discussion in multi-party conversations by designing the physical behavior of a robot. In this paper, humans estimated a robotfs utterances by looking at the direction of its eye-gazes. In addition, we investigated how the robotfs behavior as a listener who expressed his eye-gazes influenced the next speakerfs comments and context. Humans adjusted their utterances by looking at the eye-gaze of the robot as a listener. We believe our study will effectively produce desirable discussions in multi-party conversations.
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