FW-HTF-RL: Reimagining Trucking: Forging an Equitable and Driver-Centered System in a Highly Automated World

FW-HTF-RL：重新构想卡车运输：在高度自动化的世界中打造公平且以驾驶员为中心的系统

• 批准号: 2326054
• 负责人: Shannon Roberts
• 金额: $ 200万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326054&HistoricalAwards=false
• 关键词: FW; HTF; RL; Reimagining; Trucking

Automated commercial motor vehicles (ACMVs), especially long-haul trucking, will transform a large segment of the US economy and the millions of workers that support it. This Future of Work at the Human-Technology Frontier - Research: Large (FW-HTF-RL) award supports research to investigate whether automation can be designed to lead to reskilling and new job opportunities rather than deskilling work and widening inequalities. ACMVs provide improved safety, enhanced fuel economy, and lower travel times, and most importantly, offer a potential solution to growing supply chain and trucker shortage problems. However, ACMVs' relationship to work performed by truckers as we know it is more uncertain. It is undeniable that the current human-technology partnership will change as more automated technology is introduced into the truck. This research project seeks to build new knowledge on the challenges of automation and reimagine this partnership from a human-centered approach to the future of trucking. The investigators will do that by informing the dignity of work and reskilling the development of an interface where truckers will interact in new and productive ways with the automated truck and the trucking functions; with these activities being completed from a worker's perspective. Results from this project could benefit workers in other contexts in which automation and AI-powered systems transform the future of work.The research team will focus on the collaboration between the trucker and ACMV. This project brings together expertise in social sciences, computational sciences, human factors, and transportation engineering to achieve multiple convergent goals: (1) an analysis of the technology while promoting human-truck symbiosis; (2) engaging with workers to gain knowledge of their experiences in different contexts; and (3) investigating the work to develop policies for more effective, forward-looking skills, and training. Organizational contexts, interface designs, and AI technologies that could promote inclusion are examined, as well as how technology can broaden opportunities within the trucking workforce. A range of research methods — from qualitative photovoice, quantitative workforce analysis, and computational decision analysis of AI and human systems to transportation engineering design assessments — are employed in this transdisciplinary project. Overall, this research project launches a much-needed conversation about the future of trucking and contributes to reimagining the future of the entire trucking ecosystem in more human-centered, equitable ways. It yields knowledge for translation into new policies, practices, training programs, and technology. It also engages broad audiences in needed conversations about career paths for truckers by developing a more dynamic and adaptable definition of work and workers that appeals to a more diverse pool of potential truckers.This project has been funded by the Future of Work at the Human-Technology Frontier cross-directorate program to promote a deeper fundamental understanding of the interdependent human-technology partnership in work contexts by advancing the design of intelligent work technologies that operate in harmony with human workers.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.

自动化的商用汽车（ACMV），尤其是长途卡车运输，将改变美国经济的大部分地区和数百万支持它的工人。人类技术领域的工作未来 - 研究：大型（FW-HTF-RL）奖支持研究，以研究是否可以设计自动化，以带来重新锻炼和新的工作机会，而不是造成新的工作机会，而不是造成不平等的工作和扩大不平等。 ACMV提供了改进的安全性，增强的燃油经济性和较低的旅行时间，最重要的是，为不断增长的供应链和卡车司机短缺问题提供了潜在的解决方案。但是，ACMVS与卡车司机执行的工作的关系更不确定。不可否认的是，随着将更多的自动化技术引入卡车，当前的人类技术合作伙伴关系将改变。该研究项目旨在建立有关自动化挑战的新知识，并从以人为中心的方式到运输的未来来重新构想这种伙伴关系。调查人员将通过告知工作的尊严并重新开发界面的开发来做到这一点，在该界面中，卡车司机将以新的和有效的方式与自动卡车和卡车运输功能进行互动；这些活动从工人的角度完成。该项目的结果可能会使自动化和AI驱动系统改变工作未来的其他情况下有益于工人。研究团队将重点关注卡车司机和ACMV之间的协作。该项目汇集了社会科学，计算科学，人为因素和运输工程方面的专业知识，以实现多种收敛目标：（1）对技术的分析，同时促进人类潮汐共生； （2）与工人互动以了解他们在不同情况下的经验； （3）调查工作以制定政策，以提高有效，前瞻性的技能和培训。研究了可以促进包容性的组织环境，界面设计和AI技术，以及技术如何扩大卡车运输劳动力中的机会。该跨学科项目采用了一系列研究方法 - 从定性光照，定量劳动力分析和对AI和人类系统的计算决策分析到运输工程设计评估。总体而言，该研究项目发起了急需的关于卡车运输未来的对话，并以更加人性化，公平的方式为整个卡车运输生态系统的未来做出了贡献。它产生了转化为新政策，实践，培训计划和技术的知识。它还通过开发对工作和工人的更具动态和适应能力的定义来参与有关卡车司机职业道路的必要对话，这些定义似乎是在潜在的卡车司机中，这些项目是由人类技术界面的工作未来提供的资助。与人类工人的和谐相处。该奖项反映了NSF的法定使命，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估，被认为是珍贵的支持。