FW-HTF-P: Augmenting Cyber-Physical-Human Collaborative Cognition and Designing Future Human-Automation Interaction in Complex Manufacturing and Operational Environments

在未来复杂的制造和运营环境中，通过人-自动化交互来增强人类对技术的认知，增强协作认知被认为是重要的。本课题从网络-物理-人类分析和基于模型的决策支持两个角度探讨增强协作认知的理论基础。其目标是开发数学和计算模型和工具，以促进关于认知状态感知和评估、人机交互适应和控制以及人类自动化系统中的群决策等关键问题的人类认知增强的基础研究。关键研究问题包括有效的认知和感知学习、信任动力学建模、人类认知性能预测和人机交互优化。对协作认知的关注需要一种人-自动化相互适应的策略，以增强人类团队认知和集体智力。该项目的最终目标是发展必要的研究人员、研究基础设施和基础工作，以在FW-HTF全面研究计划的水平上扩大研究未来技术、未来工人和未来工作的机会。这个融合的项目将为未来工厂中工人、技术、机器人和机器之间的认知交互提供新的见解，赋予适应性任务能力，以提高生产率和工人体验。它通过增强认知能力并利用人工智能和智能自动化来利用人类的认知负担，有助于更深入地了解未来的增强制造和运营环境。拟议的工作有可能建立一个增强人类协作认知的新范式，这将阐明对工作未来的经济和社会影响。研究成果将被纳入新的跨学科工程课程，以丰富本科生和研究生教育。试验台和原型的实施将提供一个独特的机会，通过Makerspace部署新课程，以增强以人为中心的开放设计和创新文化，并促进大规模定制教育和学习体验，让学生接触到多学科知识。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。

Augmenting collaborative cognition is envisioned to be important to bolster human cognition with technologies through human-automation interaction in future complex manufacturing and operational environments. This project investigates the theoretical foundation of augmenting collaborative cognition from the perspectives of cyber-physical-human analysis and model-based decision support. The goal is to develop mathematical and computational models and tools to advance basic research for understanding human cognition augmentation regarding such critical issues as cognitive state sensing and assessment, human-automation interaction adaption and control, as well as group decision making in human-automation systems. Key research issues include effective cognition and perception learning, trust dynamics modeling, human cognitive performance prediction, and human-automation interaction optimization. The focus on collaborative cognition entails a human-automation mutual adaption strategy for augmenting human team cognition and collective intelligence. The ultimate goal of this project is to develop the necessary research personnel, research infrastructure, and foundational work to expand the opportunities for studying future technology, future workers, and future work at the level of a FW-HTF full research proposal.This convergent project will provide new insights into cognitive interactions between workers, technologies, robots, and machines in future factories, empowering adaptive task abilities to improve both productivity and worker experience. It contributes to a deeper understanding of augmented manufacturing and operational environments of the future by amplifying cognitive capacities and leveraging human cognitive burden with artificial intelligence and smart automation. The proposed work has the potential to establish a new paradigm for augmenting human collaborative cognition, which will shed light on the economic and societal impacts on the future of work. The research results will be incorporated into new interdisciplinary engineering curricula to enrich undergraduate and graduate education. The testbed and prototype implementation will offer a unique opportunity to deploy new curriculum through the Makerspace to enhance a human-centered open design and innovation culture and promote mass customized education and learning experience for students to be exposed to multidisciplinary knowledge.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.