4.2 Article

Turn Taking Based on Information Flow for Fluent Human-Robot Interaction

期刊

AI MAGAZINE
卷 32, 期 4, 页码 53-63

出版社

AMER ASSOC ARTIFICIAL INTELL
DOI: 10.1609/aimag.v32i4.2379

关键词

-

资金

  1. ONR [N000140810842]

向作者/读者索取更多资源

Turn taking is a fundamental part of human communication. Our goal is to devise a turn-taking framework for human-robot interaction that, like the human skill, represents something fundamental about interaction, generic to context or domain. We propose a model of turn taking, and conduct an experiment with human subjects to inform this model. Our findings from this study suggest that information flow is an integral part of human floor-passing behavior. Following this, we implement autonomous floor relinquishing on a robot and discuss our insights into the nature of a genera turn-taking model for human-robot interaction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据