Online Decision-Making and Control During Human-Human Interactions

人与人交互过程中的在线决策和控制

基本信息

批准号：
2146888
负责人：
Joshua Cashaback
金额：
$ 59.21万
依托单位：
University of Delaware
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-15 至 2025-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2146888&HistoricalAwards=false
关键词：
Online Decision Making Control During

项目摘要

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.

人类运动行为的研究主要集中在个体如何控制其运动。然而，人类的生存取决于我们在合作和竞争中与他人互动的能力。了解人类在运动任务中的合作或竞争如何在社会的许多方面都高度相关，例如医疗康复，军事或运动，机器人技术和人类机器人互动。尽管它对日常生活的普遍性和重要性，但人类如何在彼此的身体互动方面保持良好的理解。该项目可以为生物学启发的控制系统做出重要贡献，与PIS的长期目标相吻合，即开发更有效的生物学启发的机器人引导的神经居住系统，这些神经居住系统可以与人类无缝互动。研究人员使用决策科学的理论框架，并探索了多次互动的动作，并探索了多次互动和触摸，并探索了多次互动的视觉和触摸，并探索了他们的触觉。人类对将沉浸在一个最先进的虚拟现实和机器人套件中，该套件使个人在执行协作或竞争性运动任务时，可以视觉和巧妙地感知伴侣的行为。除了健康的参与者外，研究人员还考虑了中风人群，以便对当感觉信息因脑损伤而变得稀疏时，对神经系统的体重和狂热的反馈如何获得因果见解。实验性工作和计算建模的混合物涉及健康和临床人群都可以更好地理解基于新兴互动行为的机制。研究人员还对多样性和包容性和计划都有坚定的承诺，包括本科生和高中生。该项目由感知，行动和认知计划（PAC）计划共同资助，既定性研究（EPSCOR）的既定计划（EPSCOR），残疾和康复工程（DARE）和MICHITS NEXES（MACTIRESS）（MATIRESS）（MOTARES MOTARES）（MOTARESS）（MOTARES）（M3）（M3）（M3）任务，并通过评估使用基金会的知识分子和更广泛的影响审查标准，被认为是宝贵的支持。