具身监督：自动化指令的触觉显示以提升监督性能
Embodied Supervision: Haptic Display of Automation Command to Improve Supervisory Performance
AI总结：
本文提出向监督者提供操作员指令信号副本，并通过 N=10 人的实验证明，相比仅视觉显示，触觉显示能更准确地识别操作员跟踪的参考目标。
摘要：
使用手动控制界面的人类操作员可通过传出副本和本体感受随时获取自身的指令信号。相比之下，人类监督者通常仅依赖视觉信息。我们提出向监督者提供一份操作员指令信号副本，并假设这会提升性能，尤其是当该副本通过触觉显示提供时。我们通过实验比较了触觉与视觉获取指令信号的方式，量化了 N=10 名参与者在尝试判断操作员正在跟踪三个参考信号中的哪一个时的性能。结果表明，与仅使用视觉显示相比，当触觉显示可用时，识别被跟踪目标的准确率有所提高。我们推测，这种收益源于触觉与监督者自身作为操作员的经验（可能是肌肉记忆）之间的关联。
英文摘要：
A human operator using a manual control interface has ready access to their own command signal, both by efference copy and proprioception. In contrast, a human supervisor typically relies on visual information alone. We propose supplying a supervisor with a copy of the operators command signal, hypothesizing improved performance, especially when that copy is provided through haptic display. We experimentally compared haptic with visual access to the command signal, quantifying the performance of N equals 10 participants attempting to determine which of three reference signals was being tracked by an operator. Results indicate an improved accuracy in identifying the tracked target when haptic display was available relative to visual display alone. We conjecture the benefit follows from the relationship of haptics to the supervisor's own experience, perhaps muscle memory, as an operator.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
