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: 1839484
• 负责人: John Lee
• 金额: $ 40万
• 依托单位: University of Wisconsin-Madison
• 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 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839484&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个未来投资新想法之一。FW-HTF跨董事会计划旨在通过支持融合研究来应对不断变化的就业和工作环境的挑战和机遇。该奖项通过考察一项新技术是否以及如何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。汽车行业的当前趋势使汽车越来越自动化，使它们能够承担越来越多的驾驶任务，同时解放驾驶员从事其他活动。数以百万计的人每天花近一个小时开车上下班。自动驾驶汽车可以将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使工作能够在自动化车辆中完成。从目前被驾驶占用的时间中回收生产时间可以提高经济生产力，工人福利和公司盈利能力。该项目的重点是了解技术如何让通勤者安全地联合收割机或在工作和驾驶任务之间切换。将开发一种新的多接口车载环境，用于支持自动驾驶车辆中与工作相关的任务以及安全驾驶，并在驾驶模拟器和真实的车辆中进行测试。 对语音和口头交互、增强现实和有形用户界面的车载使用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的环境。该项目还包括促进妇女参与科学、技术、工程和数学的活动。 创建允许驾驶员在自动驾驶汽车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，以及公司的生产力和盈利能力。基于这些发现，该团队将创建支持工作任务的车载用户界面，以及在从事工作任务和驾驶之间的安全过渡。 三种类型的用户界面将被集成：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，以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的情况。这将允许设计接口，使得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。该团队将通过为研究人员、从业人员和政策制定者提供一套广泛的指导方针，沿着以缜密的推理为它们在人机交互设计中的应用提供支持工作-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评估被认为值得支持。影响审查标准。

项目成果

”I need to respond to this” – Contributions to group creativity in remote meetings with distractions

– 我需要对此做出回应 – – 在分散注意力的远程会议中对团队创造力的贡献

• DOI: 10.1145/3533406.3533411
• 发表时间: 2022
• 期刊: CHIWORK 2022: 2022 Symposium on Human-Computer Interaction for Work
• 作者: Ansah, Alberta A.;Xing, Yilun;Kamaraj, Amudha Varshini;Tosca, Diana;Boyle, Linda;Iqbal, Shamsi;Kun, Andrew L.;Lee, John D.;Pahud, Michel;Shaer, Orit
• 通讯作者: Shaer, Orit

Using Machine Learning to Aid in Data Classification: Classifying Occupation Compatibility with Highly Automated Vehicles

• DOI: 10.1177/1064804620923193
• 发表时间: 2020-05
• 期刊: Ergonomics in Design: The Quarterly of Human Factors Applications
• 作者: A. Kamaraj;John D. Lee

Defining A Design Space of The Auto-Mobile Office: A Computational Abstraction Hierarchy Analysis

定义汽车移动办公室的设计空间：计算抽象层次分析

• DOI: 10.1177/1071181320641068
• 发表时间: 2020
• 期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
• 作者: Li, Mengyao;Katrahmani, Atefeh;Kamaraj, Amudha V.;Lee, John D.
• 通讯作者: Lee, John D.

The future of work and wellbeing: A preliminary report from a series of conversations

工作和福祉的未来：一系列对话的初步报告

• 发表时间: 2020
• 期刊: New Future of Work Microsoft Research
• 作者: Kun, Andrew L.

A Data Analytics Approach to Persona Development for The Future Mobile Office

• DOI: 10.1177/1071181320641240
• 发表时间: 2020-12
• 期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
• 作者: A. Kamaraj;Atefeh Katrahmani;Mengyao Li;John D. Lee