Online Decision-Making and Control During Human-Human Interactions

对人类运动行为的研究主要集中在个人如何控制他们的运动。然而，人类的生存依赖于我们与他人互动的能力，包括合作和竞争。 了解人类如何在运动任务中合作或竞争对于社会的许多方面都具有高度相关性，例如医疗康复、军事或体育领域的团队合作、机器人技术以及人机交互。尽管它在日常生活中无处不在，也很重要，但人们对人类如何在身体上相互作用仍然知之甚少。该项目可以为生物启发控制系统的发展做出重要贡献，与PI开发更有效的仿生机器人的长期目标相一致，研究人员使用决策科学和最佳反馈控制的理论框架来探索多个相互作用的人类如何使用视觉和触觉来做出快速决策和协调。他们的行为人类配对将沉浸在最先进的虚拟现实和机器人套件中，允许个人在执行协作或竞争性运动任务时，通过视觉和触觉感知伴侣的动作。除了健康的参与者外，研究人员还考虑了中风人群，以了解当感觉信息因脑损伤而变得稀疏时，神经系统如何权衡视觉和触觉反馈。涉及健康和临床人群的实验工作和计算建模的混合将允许更好地理解支持紧急交互行为的机制。研究人员还对多样性和包容性做出了坚定的承诺，并计划将本科生和高中生纳入研究。该项目由感知，行动和认知（PAC）计划，刺激竞争研究的既定计划（EPSCoR），残疾和康复工程（DARE）计划和心灵，机器和电机连接（M3X）计划。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Research on human motor behavior has largely focused on how individuals control their movement. Yet human survival has depended on our ability to interact with others, both cooperatively and competitively. Understanding how humans collaborate or compete in motor tasks is highly relevant across many facets of society, such as medical rehabilitation, teamwork in the military or sport, robotics, and human-robot interaction. Despite its ubiquity and importance to daily life, how humans physically interact with one another remains poorly understood. This project can make important contributions towards the development of biologically inspired control systems, aligning with the PIs' long-term goal of developing more effective biologically inspired robot-guided neurorehabilitation systems that can seamlessly interact with humans.The investigators use the theoretical frameworks of decision sciences and optimal feedback control to explore how multiple interacting humans use vision and touch to make rapid decisions and coordinate their actions. Human pairs will be immersed in a state-of-the-art virtual reality and robotics suite that allows individuals to sense their partner’s actions visually and haptically while they perform either a collaborative or competitive motor task. In addition to healthy participants, the investigators also consider a stroke population in order to gain causal insight into how the nervous system weighs visual and haptic feedback when sensory information becomes sparse due to brain injury. The blend of experimental work and computational modeling involving both healthy and clinical populations will allow a better understanding of the mechanisms that underpin emergent interactive behavior. The investigators also have a strong commitment to diversity and inclusion and plan include undergraduates and high school students in the research.This project is jointly funded by the Perception, Action, and Cognition (PAC) Program, the Established Program to Stimulate Competitive Research (EPSCoR), the Disabilities and Rehabilitation Engineering (DARE) Program, and the Mind, Machine and Motor Nexus (M3X) Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.