FMSG: Internet of People and Things Bridging manual to semiautomated processes through Cybermanufacturing Collaborative Intelligence

FMSG：人与物联网通过网络制造协作智能将手动流程与半自动化流程连接起来

• 批准号: 2036873
• 负责人: Laine Mears
• 金额: $ 50万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2036873&HistoricalAwards=false
• 关键词: FMSG; Internet; People; Things; Bridging

AbstractThis project supports fundamental research in understanding how human roles in manufacturing will evolve with the introduction of increasingly intelligent autonomous agents and what characteristics of assistive technology are important to provide the most effective collaborative relationship between humans and artificial intelligence systems. Application of this research will not only help reduce costs and improve quality for parts designed and manufactured in technical environments but will also explore the sociology of human interaction with artificial systems in ways that further human purposefulness and fulfillment in work. This project promotes the progress of interdependent science and advances national prosperity and welfare through facilitating value creating in future manufacturing systems. Additionally, this work includes a plan for broadening participation of underrepresented groups in scientific research by a targeted set of recruiting activities toward minority and female candidates through social media and peer-to-peer networks, as well as formal programs such as the National GEM consortium and Clemson's Women in Science and Engineering (WISE) programs.The objectives of this project are to model collaboration strength in manufacturing among systems of people and artificial intelligence agents and to measure assistive technologies’ influence on manufacturing collaboration. As the manufacturing supply chain has grown from a progression of sequential parts creating an assembly to more modern networks of specialized module builders, the role of interorganizational and intraorganizational collaboration has grown immensely in its influence on productivity and profitability. Considering the advent of new intelligent planning, automation, and production systems, the proposing team conjectures that the strength of collaboration will retain its influence on positive manufacturing outcomes and can be affected significantly by assistive technologies for human participation. The project outcomes have important implications for future manufacturing in regard to the transition to artificial intelligence implementation throughout the supply chain, and lasting human presence in manufacturing; both of which must work in harmony.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.

AbstractThis项目支持基础研究，了解人类在制造业中的角色将如何随着越来越智能的自主代理的引入而演变，以及辅助技术的哪些特征对于提供人类和人工智能系统之间最有效的协作关系至关重要。这项研究的应用不仅有助于降低成本，提高在技术环境中设计和制造的零件的质量，而且还将探索人类与人工系统互动的社会学，以促进人类在工作中的目的性和实现。该项目通过促进未来制造系统的价值创造，促进相互依存的科学进步，促进国家繁荣和福利。此外，这项工作还包括一项计划，通过社交媒体和对等网络，针对少数群体和女性候选人开展一系列有针对性的招聘活动，扩大代表性不足的群体参与科学研究，以及国家创业板联盟和克莱姆森的妇女在科学和工程（WISE）等正式项目该项目的目标是在制造业中对人和人工智能代理系统之间的协作强度进行建模，并衡量辅助技术对制造业协作的影响。随着制造业供应链从创建装配的连续部件发展到更现代化的专业模块构建者网络，组织间和组织内协作的作用在其对生产力和盈利能力的影响方面大大增加。考虑到新的智能规划、自动化和生产系统的出现，提议团队认为，协作的强度将保持其对积极制造成果的影响，并可能受到人类参与的辅助技术的显著影响。该项目的成果对未来制造业在整个供应链中向人工智能实施的过渡以及制造业中的持久人类存在具有重要意义;两者必须协调一致。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审查标准进行评估，被认为值得支持。

项目成果

The forgotten teammate: Considering the labor perspective in human-autonomy teams

• DOI: 10.1016/j.chb.2023.107763
• 发表时间: 2023-03
• 期刊: Comput. Hum. Behav.
• 作者: Sydney R. Begerowski;Katelyn N. Hedrick;Flanagan Waldherr;L. Mears;Marissa L. Shuffler

Examining the Effects of Cognitive Assistive Agents on Team Coordination in Manufacturing Teams

• DOI: 10.1177/1071181322661401
• 发表时间: 2022-09
• 期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
• 作者: Begerowski S.R.;Waldherr F.;Biddlecom J.;Traylor A.;Krugh M.;Mears L.;Shuffler M.L.