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

GazeIn '13 Pub Date : 2013-12-13 DOI:10.1145/2535948.2535956
Misato Yatsushiro, Naoya Ikeda, Yuki Hayashi, Y. Nakano
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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.
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基于注视和轮询信息的优势估计机制
本文提出了一种评估群体互动中会话优势的机制,旨在为多方会话管理做出贡献。基于语料库分析,我们已经建立了一个基于语音和注视信息的优势估计回归模型。在本研究中,我们将该模型实现为优势估计机制,并提出了利用该机制调节对话机器人与三个人类用户之间的多方对话的想法。系统根据每个用户的支配级别决定系统应该与谁对话。
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Agent-assisted multi-viewpoint video viewer and its gaze-based evaluation Learning aspects of interest from Gaze A dominance estimation mechanism using eye-gaze and turn-taking information Unrawelling the interaction strategies and gaze in collaborative learning with online video lectures Mutual disambiguation of eye gaze and speech for sight translation and reading
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