FW-HTF-P: Human-Agent Teaming for the Future of Work in Aircraft Manufacturing

这个“人类技术前沿的未来工作：核心研究”规划项目的愿景是将数字化工作空间的好处带到航空航天工业的劳动密集型任务中。人类-智能体合作提出了在全人类或全数字网络中不存在的重大挑战。该研究将建立在自然语言处理，人机协作，阿尔蒂官方智能（AI），控制工程，数据分析，统计和社区教育的基础上，为飞机制造建立创新的人机合作框架的可行性。我们的目标是建立一个全面的集成环境，在这个环境中，人类工人和管理人员、机器人和人工智能将合作交流、设定目标、计划任务、做出决策和解决问题。该项目将通过支持员工团队、数据分析、可视化、验证和沟通来解决质量控制、风险缓解和劳动力管理方面的挑战。在这种情况下，流程自动化、人工智能和机器人技术将使人类工人能够专注于高价值和创造性的任务。对工人和雇主的好处包括减轻工作强度、提高制造工作质量和最大限度地减少安全风险。研究成果将提高飞机制造业的生产力和竞争力。通过不强调具体的物质要求，该项目可以创造新的就业机会，增加就业公平、可获得性和包容性。该项目解决了阻碍人类工作者融入未来数字工作空间的技术和管理障碍，特别是在航空航天制造领域。该研究将通过设计自然语言通信，视觉信息学，物理交互和增强以及相互理解的整体框架，培养制造业中人类-智能体团队合作的理论。该研究还将通过解决未来制造工作中的工作管理和分析挑战来推进知识。具体来说，该项目1）研究了人类-代理团队框架的可行性，该框架为数字工作者和人类工作者建立了精神和物理绑定，以便在航空航天制造的背景下有效和安全地协作; 2）弥合未来制造业在劳动力管理、质量控制和业务建模方面的知识差距，通过实施综合员工队伍管理，建立混合员工队伍;和3）进行调查，收集数据，并举办研讨会，收集有关新工作模式所需的关键工人和管理技能以及培训的信息。反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

The vision of this Future of Work at the Human-Technology Frontier: Core Research planning project is to bring the benefits of a digital workspace to labor-intensive tasks in the aerospace industry. Human-agent teaming presents substantial challenges that are not present in all-human or all-digital workspaces. The research will build upon results in natural-language processing, human-robot collaboration, artificial intelligence (AI), control engineering, data analytics, statistics, and community education to establish the feasibility of an innovative human-agent teaming framework for aircraft manufacturing. The goal is a comprehensive and integrated environment in which human workers and managers, robots and AIs, will cooperatively communicate, set goals, plan tasks, make decisions, and solve problems. The project will address challenges in quality control, risk mitigation, and workforce management via support for worker teaming, data analytics, visualization, verification, and communication. In this setting, process automation, AI, and robotics will free human workers to concentrate on high-value and creative tasks. Benefits to workers and employers include lightened work intensity, improved quality of manufacturing work, and minimization of safety risks. The research results will improve the productivity and competitiveness of the aircraft manufacturing industry. By deemphasizing specific physical requirements, the project could create new job opportunities and increase employment equity, accessibility, and inclusion. The project addresses the technical and managerial barriers obstructing the integration of human workers into the future digital workspace, specifically in the context of aerospace manufacturing. The research will cultivate the theory of human-agent teaming in manufacturing by designing a holistic framework of natural-language communication, visual informatics, physical interaction and augmentation, and mutual understanding. The research will also advance knowledge by addressing the challenges in work management and analytics derived from future manufacturing work. Specifically, this project 1) examines the feasibility of a human-agent teaming framework that establishes mental and physical bindings for digital workers and human workers to collaborate efficiently and safely in the context of aerospace manufacturing; 2) bridges the knowledge gap in workforce management, quality control, and business modeling for future manufacturing industry, founded on a hybrid workforce through the implementation of integrated workforce management; and 3) conducts surveys, collects data, and holds workshops to gather information about the critical worker and managerial skills and training required by the new work paradigm.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.