通过追踪人机动作同步，发现协同移动能提升信任感。
Co-Movement and Trust Development in Human-Robot Teams
- 用超声波追踪人机全身运动，分析动作同步性
- 动作同步与信任变化显著相关，尤其在近距离时
- 适合研究人机协作中的信任建模与预警机制
为使人类与机器人形成高效人机团队（HRT），任务全程需具备足够的相互信任。本研究基于一人两机的实验，通过让机器人临时失联来操控信任水平。利用超声波信标实现全身运动追踪，并结合人机界面的通信与绩效日志数据。结果表明，在特定空间距离内，人机动作时间序列的同步性与自我报告的信任变化显著相关。这说明空间接近性与肢体语言的互动——即通过协同移动进行隐性沟通——可能在建立和维持人机信任中起关键作用。因此，量化团队成员间的协调动态可用来预测信任演变，也可作为信任受损时的早期预警信号。研究旨在构建移动人机团队中的信任度量体系。
原文摘要 · Abstract (English)
For humans and robots to form an effective human-robot team (HRT) there must be sufficient trust between team members throughout a mission. We analyze data from an HRT experiment focused on trust dynamics in teams of one human and two robots, where trust was manipulated by robots becoming temporarily unresponsive. Whole-body movement tracking was achieved using ultrasound beacons, alongside communications and performance logs from a human-robot interface. We find evidence that synchronization between time series of human-robot movement, within a certain spatial proximity, is correlated with changes in self-reported trust. This suggests that the interplay of proxemics and kinesics, i.e. moving together through space, where implicit communication via coordination can occur, could play a role in building and maintaining trust in human-robot teams. Thus, quantitative indicators of coordination dynamics between team members could be used to predict trust over time and also provide early warning signals of the need for timely trust repair if trust is damaged. Hence, we aim to develop the metrology of trust in mobile human-robot teams.
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