FW-HTF: Collaborative Research: The Next Mobile Office: Safe and Productive Work in Automated Vehicles

FW-HTF：协作研究：下一个移动办公室：自动驾驶汽车中安全高效的工作

• 批准号: 1839666
• 负责人: Linda Boyle
• 金额: $ 40.06万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839666&HistoricalAwards=false
• 关键词: FW; HTF; Collaborative; Research; Next

The Future of Work at the Human-Technology Frontier (FW-HTF) is one of 10 new Big Ideas for Future Investment announced by NSF. The FW-HTF cross-directorate program aims to respond to the challenges and opportunities of the changing landscape of jobs and work by supporting convergent research. This award fulfills part of that aim, by examining whether and how a new technology can safely improve worker productivity, and well-being. Current trends in the automobile industry make cars increasingly automated, allowing them to take on a growing number of driving tasks, while freeing the driver to engage in other activities. Millions of people spend nearly an hour of each work day commuting by car. Automated vehicles could allow part of the time currently spent driving to be used for work-related efforts. The goal of this project is to understand how current and future technologies might enable work to be done in automated vehicles. Reclaiming productive time from time currently taken up by driving could increase economic productivity, worker wellbeing, and firm profitability. The project focuses on understanding how technology can allow commuters to safely combine or switch between work and driving tasks. A new multi-interface in-vehicle environment for the support of work-related tasks, as well as safe driving, in automated vehicles will be developed and tested in driving simulators and real vehicles. The innovative contributions to the in-vehicle use of speech and spoken interactions, augmented reality, and tangible user interfaces will have applicability to a broad range of settings, including for non-drivers and in mobile environments beyond the car. The project also includes activities to promote the participation of women in Science, Technology, Engineering and Mathematics. Creating the systems that will allow drivers to safely engage in work-related activities in automated vehicles requires an interdisciplinary effort. This project will explore what types of work in automated vehicles can improve workers' job satisfaction and productivity, and the productivity and profitability of firms. Based on these findings, the team will create in-vehicle user interfaces that support work tasks, as well as safe transitions between engaging in work tasks and in driving. Three types of user interfaces will be integrated: voice interfaces, augmented reality interfaces, and tangible interfaces. The team will also develop a probabilistic model to examine the ability of the in-vehicle interfaces to communicate to the driver the mode and limitations of the vehicle automation. The model will incorporate cases when the user transitions between the work task and the driving task. This will allow designing the interfaces such that they provide adequate support for the safe transition from the work task to the driving task, as well as an efficient transition back to the work task. The team will close the loop with design guidelines, by providing researchers, practitioners, and policy makers a broad set of guidelines, along with careful reasoning for their application in the design of human-machine interaction to support the work-related tasks of workers in automated vehicles.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.

人类技术前沿的未来工作 (FW-HTF) 是 NSF 宣布的 10 个未来投资新大创意之一。 FW-HTF 跨部门计划旨在通过支持融合研究来应对不断变化的工作和工作格局的挑战和机遇。该奖项通过研究新技术是否以及如何能够安全地提高工人的生产力和福祉，实现了这一目标的一部分。当前汽车行业的趋势使汽车变得越来越自动化，使它们能够承担越来越多的驾驶任务，同时使驾驶员能够自由地从事其他活动。数百万人每个工作日花费近一个小时开车上下班。自动驾驶汽车可以让目前驾驶的部分时间用于与工作相关的工作。该项目的目标是了解当前和未来的技术如何能够在自动驾驶车辆中完成工作。从目前开车所占用的时间中回收生产时间可以提高经济生产力、工人福祉和公司盈利能力。该项目的重点是了解技术如何让通勤者安全地结合或切换工作和驾驶任务。将在驾驶模拟器和真实车辆中开发和测试一种新的多接口车载环境，以支持自动驾驶汽车中的工作相关任务以及安全驾驶。 对车载语音和口语交互、增强现实和有形用户界面的创新贡献将适用于广泛的设置，包括非驾驶员和汽车以外的移动环境。该项目还包括促进妇女参与科学、技术、工程和数学领域的活动。 创建允许驾驶员在自动驾驶车辆中安全地从事与工作相关的活动的系统需要跨学科的努力。该项目将探讨自动驾驶汽车中哪些类型的工作可以提高工人的工作满意度和生产力，以及企业的生产力和盈利能力。根据这些发现，团队将创建支持工作任务的车载用户界面，以及工作任务和驾驶之间的安全过渡。 将集成三种类型的用户界面：语音界面、增强现实界面和有形界面。该团队还将开发一个概率模型来检查车载接口向驾驶员传达车辆自动化模式和限制的能力。该模型将包含用户在工作任务和驾驶任务之间转换时的情况。这将允许设计接口，以便它们为从工作任务到驾驶任务的安全转换以及返回到工作任务的有效转换提供足够的支持。该团队将通过设计指南来闭合循环，为研究人员、从业者和政策制定者提供一套广泛的指南，并仔细推理其在人机交互设计中的应用，以支持工人的工作相关任务该奖项反映了 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

Perceptions related to engaging in non-driving activities in an automated vehicle while commuting: A text mining approach

对通勤时参与自动驾驶汽车非驾驶活动的看法：文本挖掘方法

• DOI: 10.1016/j.trf.2023.01.015
• 发表时间: 2023-04
• 期刊: Transportation Research Part F: Traffic Psychology and Behaviour
• 作者: Xing, Yilun;Boyle, Linda Ng;Sadun, Rafaella;Lee, John D.;Shaer, Orit;Kun, Andrew
• 通讯作者: Kun, Andrew