The utility of affect expression in natural language interactions in joint human-robot tasks

The utility of affect expression in natural language interactions in joint human-robot tasks
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情感表达在人机联合任务中自然语言交互中的效用

DOI:
10.1145/1121241.1121281
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发表时间:
2006
期刊:
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
影响因子:
--
通讯作者:
J. Kramer
J. Kramer
中科院分区:
--
文献类型:
--
作者:
Matthias Scheutz;P. Schermerhorn;J. Kramer

文献摘要

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认识并应对人类影响的反应对于共同的人类机器人团队的协作任务很重要。在本文中,我们介绍了HRI的综合影响和认知结构,并报告了该体系结构的实验结果,该实验表明表达影响和对人类影响的反应具有影响表达,可以显着提高共同的人类机器人任务中的团队绩效。
Recognizing and responding to human affect is important in collaborative tasks in joint human-robot teams. In this paper we present an integrated affect and cognition architecture for HRI and report results from an experiment with this architecture that shows that expressing affect and responding to human affect with affect expressions can significantly improve team performance in a joint human-robot task.