Miscommunication detection strategies for safe collaboration

这项研究试图通过分析传感器数据，如眼球跟踪器和运动捕捉设备，来检测容易发生错误沟通的情况，以避免操作错误。结果表明，当每个协作者并行工作并且不看合作伙伴时，错误沟通的可能性会变得更高，尽管这种情况并不总是导致错误沟通。这表明，相互凝视数据对于检测容易出错的团队是有用的，尽管该方法很难应用于实时错误检测。

This research attempts to detect situations where miscommunication tend to happen by analyzing sensor data such as eye-trackers and motion capture devices for the purpose of avoiding operational errors. The results suggest that the probability of miscommunication becomes higher when each collaborator works parallel and does not look at the partners, although such situations do not always lead to miscommunication. This shows that mutual gaze data is useful to detect teams that tend to make errors, although the method is difficult to be applied in the real time error detection.