Mojtahedi Keivan, Whitsell Bryan, Artemiadis Panagiotis, Santello Marco
Neural Control of Movement Laboratory, School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Human Oriented Robotics and Control Laboratory, Mechanical and Aerospace Engineering, School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA.
Front Neurorobot. 2017 Apr 13;11:21. doi: 10.3389/fnbot.2017.00021. eCollection 2017.
Of particular interest to the neuroscience and robotics communities is the understanding of how two humans could physically collaborate to perform motor tasks such as holding a tool or moving it across locations. When two humans physically interact with each other, sensory consequences and motor outcomes are not entirely predictable as they also depend on the other agent's actions. The sensory mechanisms involved in physical interactions are not well understood. The present study was designed (1) to quantify human-human physical interactions where one agent ("follower") has to infer the intended or imagined-but not executed-direction of motion of another agent ("leader") and (2) to reveal the underlying strategies used by the dyad. This study also aimed at verifying the extent to which visual feedback (VF) is necessary for communicating intended movement direction. We found that the control of leader on the relationship between force and motion was a critical factor in conveying his/her intended movement direction to the follower regardless of VF of the grasped handle or the arms. Interestingly, the dyad's ability to communicate and infer movement direction with significant accuracy improved (>83%) after a relatively short amount of practice. These results indicate that the relationship between force and motion (interpreting as arm impedance modulation) may represent an important means for communicating intended movement direction between biological agents, as indicated by the modulation of this relationship to intended direction. Ongoing work is investigating the application of the present findings to optimize communication of high-level movement goals during physical interactions between biological and non-biological agents.
神经科学和机器人技术领域特别感兴趣的是了解两个人如何进行身体协作来执行诸如握住工具或将其移动到不同位置等运动任务。当两个人进行身体互动时,感觉结果和运动结果并不完全可预测,因为它们还取决于对方的动作。参与身体互动的感觉机制尚未得到充分理解。本研究旨在:(1)量化人与人之间的身体互动,其中一个参与者(“跟随者”)必须推断另一个参与者(“领导者”)预期的或想象中的但未执行的运动方向;(2)揭示这一双人组合所使用的潜在策略。本研究还旨在验证视觉反馈(VF)对于传达预期运动方向的必要程度。我们发现,无论被抓握的手柄或手臂的视觉反馈如何,领导者对力与运动之间关系的控制是向跟随者传达其预期运动方向的关键因素。有趣的是,经过相对较短时间的练习后,这一双人组合以显著的准确性进行沟通和推断运动方向的能力提高了(>83%)。这些结果表明,力与运动之间的关系(解释为手臂阻抗调制)可能是生物个体之间传达预期运动方向的重要手段,这一点通过这种关系对预期方向的调制得到了体现。正在进行的工作正在研究如何应用本研究结果来优化生物与非生物个体之间身体互动过程中高级运动目标的沟通。