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自己的运动上。然而，人类的生存依赖于我们与他人互动的能力，无论是合作还是竞争。了解人类如何在运动任务中协作或竞争，对社会的许多方面都具有高度相关性，例如医疗康复、军事或体育中的团队合作、机器人技术以及人与机器人的互动。尽管它在日常生活中无处不在，也很重要，但人们对人类如何相互作用仍知之甚少。该项目可以为生物启发控制系统的开发做出重要贡献，与PI开发更有效的生物启发机器人引导的神经康复系统的长期目标保持一致。研究人员使用决策科学和最优反馈控制的理论框架来探索多个交互作用的人类如何使用视觉和触觉来快速决策和协调他们的行动。人类组合将沉浸在最先进的虚拟现实和机器人套件中，该套件允许个人在执行协作或竞争运动任务时，视觉和触觉地感受到伴侣的动作。除了健康的参与者，研究人员还考虑了中风人群，以便了解当感觉信息因脑损伤而变得稀少时，神经系统如何权衡视觉和触觉反馈。涉及健康人群和临床人群的实验工作和计算建模的结合将使人们更好地理解支撑紧急互动行为的机制。调查人员还坚定地致力于多样性和包容性，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、既定的激励竞争性研究计划(EPSCoR)、残疾和康复工程(DARE)计划以及大脑、机械和运动联系(M3X)计划联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.