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

增强协作认知被认为是重要的，以加强人类的认知与技术，通过人类自动化互动，在未来复杂的制造和运营环境。本研究从信息-物理-人分析和基于模型的决策支持的角度探讨增强协同认知的理论基础。其目标是开发数学和计算模型和工具，以推进基础研究，了解人类认知增强有关认知状态感知和评估，人类自动化交互适应和控制，以及人类自动化系统中的群体决策等关键问题。主要研究问题包括有效的认知和感知学习，信任动态建模，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-自动化相互适应策略，以增强人类团队认知和集体智慧。 该项目的最终目标是培养必要的研究人员、研究基础设施和基础工作，以扩大在FW-HTF完整研究提案水平上研究未来技术、未来工人和未来工作的机会。该融合项目将为未来工厂中工人、技术、机器人和机器之间的认知互动提供新的见解，赋予适应性任务能力，以提高生产力和员工体验。它通过放大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新的范式来增强人类的协作认知，这将揭示对未来工作的经济和社会影响。研究成果将被纳入新的跨学科工程课程，以丰富本科和研究生教育。测试平台和原型的实施将提供一个独特的机会，通过创客空间部署新的课程，以提高人类-以开放设计和创新文化为中心，促进大规模定制教育和学习体验，让学生接触多学科知识。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响进行评估，被认为值得支持审查的搜索.

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.