Visual accuracy dominates over haptic speed for state estimation of a partner during collaborative sensorimotor interactions
Visual accuracy dominates over haptic speed for state estimation of a partner during collaborative sensorimotor interactions
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DOI：
10.1152/jn.00053.2023
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发表时间：
2023-07-01
影响因子：
2.5
通讯作者：
Cashaback，Joshua G. A.
中科院分区：
文献类型：
--
作者：
Lokesh，Rakshith;Sullivan，Seth R.;Cashaback，Joshua G. A.
我们经常与他人进行身体互动，无论是递给别人一杯水，还是共同移动重物。人与人之间的这些感觉运动交互通常依赖于视觉反馈和触觉反馈。最近的单参与者研究强调，必须考虑每种感觉的独特噪声和时间延迟来估计自己运动的状态，如位置和速度。然而，我们对视觉反馈和触觉反馈如何被用来估计另一个人的状态知之甚少。在这里，我们测试了人类如何利用视觉反馈和触觉反馈来评估他们的伴侣在协作感觉运动任务中的状态。通过两个实验，我们发现视觉反馈在协作过程中主导触觉反馈。具体地说，我们发现视觉反馈导致相对较低的任务相关动作变异性，更流畅的协作动作，以及更快的试验完成时间。我们还开发了一种最优反馈控制器，该控制器同时考虑了视觉反馈和触觉反馈的噪声和时延，以估计伴侣的状态。该模型能够捕捉到较低的与任务相关的运动变异性和更流畅的协作运动。综上所述，我们的经验和建模结果支持这样的观点，即在合作过程中，要对合作伙伴进行状态估计，视觉准确性比触觉速度更重要。NEW&NOTEWORTHY两个或更多个人之间的物理协作涉及视觉和触觉反馈。在这里，我们研究了如何使用视觉和触觉反馈来估计合作任务中伴侣的动作。我们的实验和计算建模结果简约地支持了这样的观点，即在估计伴侣的状态时，更高的视觉精度比更快但更嘈杂的触觉反馈更重要。
We routinely have physical interactions with others, whether it be handing someone a glass of water or jointly moving a heavy object together. These sensorimotor interactions between humans typically rely on visual feedback and haptic feedback. Recent single-participant studies have highlighted that the unique noise and time delays of each sense must be considered to estimate the state, such as the position and velocity, of one’s own movement. However, we know little about how visual feedback and haptic feedback are used to estimate the state of another person. Here, we tested how humans utilize visual feedback and haptic feedback to estimate the state of their partner during a collaborative sensorimotor task. Across two experiments, we show that visual feedback dominated haptic feedback during collaboration. Specifically, we found that visual feedback led to comparatively lower task-relevant movement variability, smoother collaborative movements, and faster trial completion times. We also developed an optimal feedback controller that considered the noise and time delays of both visual feedback and haptic feedback to estimate the state of a partner. This model was able to capture both lower task-relevant movement variability and smoother collaborative movements. Taken together, our empirical and modeling results support the idea that visual accuracy is more important than haptic speed to perform state estimation of a partner during collaboration.NEW & NOTEWORTHYPhysical collaboration between two or more individuals involves both visual and haptic feedback. Here, we investigated how visual and haptic feedback is used to estimate the movements of a partner during a collaboration task. Our experimental and computational modeling results parsimoniously support the notion that greater visual accuracy is more important than faster yet noisier haptic feedback when estimating the state of a partner.