SGER: Investigating the Utility of Affect Mechanisms in Mixed Human-Robot Teams

SGER：研究情感机制在人机混合团队中的效用

• 批准号: 0746950
• 负责人: Matthias Scheutz
• 金额: --
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0746950&HistoricalAwards=false
• 关键词: SGER; Investigating; Utility; Affect; Mechanisms

Affect is deeply intertwined with cognition in humans and can influence problem solving and decision making strategies, or evaluations of social situations, among many others. For robots working with humans in teams this means that being aware of human affect and adapting their behavior based on human expectations about how to respond to human affect might not only lead to more natural interactions, but also improve the performance of human-robot teams. Currently, there is only one preliminary study that attempts to quantify objectively the effect of robotic affect expression on task performance in a mixed human-robot team.This project will build collect further evidence for the utility of using affect mechanisms in robotic architectures. Specifically, the project will investigate whether selectively using affect modulations of spoken language output generated by the robot in response to human stress due to high cognitive load, detected either in the human voice or via physiological sensors attached to human subjects, can improve the performance of human-robot teams. Moreover, it will be determined if the outcomes depend on the frequency of interactions as well as the interaction distance, comparing face-to-face interactions with remote interactions via a video link.

情感与人类的认知深深交织在一起，可以影响解决问题的解决和决策策略，或者对社会情况的评估等。 对于与人类合作的机器人，这意味着根据人类对如何应对人类影响的人的期望，了解人类的影响并适应其行为，这不仅可能导致更自然的互动，还可以改善人类机器人团队的表现。 当前，只有一项初步研究试图客观地量化机器人影响表达对混合人类机器人团队中任务绩效的影响。该项目将为在机器人体系结构中使用影响机制的实用性提供进一步的证据。 具体而言，该项目将调查机器人在人类语音中或通过与人类受试者附加的生理传感器检测到的高度认知负载产生的口语输出的调制是否可以改善人类动手团队的性能。 此外，将确定结果是否取决于相互作用的频率以及交互距离的频率，将面对面的交互与通过视频链接进行了面对面的交互与远程交互。