CHS: Small: Improving user trust of autonomous vehicles through human-vehicle collaboration

CHS：小型：通过人车协作提高用户对自动驾驶汽车的信任

• 批准号: 1910603
• 负责人: Nicholas Giudice
• 金额: $ 49.99万
• 依托单位: University of Maine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1910603&HistoricalAwards=false
• 关键词: CHS; Small; Improving; user; trust

Fully autonomous vehicles (FAVs) represent a key future direction for transportation, especially for populations who are currently disenfranchised by traditional, manually operated vehicles, such as those with visual impairments or older adults. Unfortunately, the benefits of self-driving technology for these demographics have yet to be adequately considered in the design of FAVs. This concern is part of a larger problem in which the majority of people simply do not trust that self-driving cars will meet their needs. This project explores new ways to share decision-making information between people and FAVs. Instead of existing systems where the FAV makes the decisions in a "black box" way that users don't see or understand, the project will develop a Human-Vehicle Collaboration (HVC) framework in which effective communication about the vehicle's decision-making process improves users' sense of agency and decisions around trusting the FAV. Through studying people's reactions to and understanding of FAV driving decisions and developing algorithms and interfaces that help FAVs communicate in ways that address them, the HVC framework will promote appropriate levels of trust in FAVs for all users, while providing substantial benefits around improving accessibility for under-served populations. The HVC framework will be designed and evaluated using a high-fidelity driving simulator that tests new interaction methods for sharing information during key driving events. Research will use this simulator and experimental platform to manipulate a host of variables relating to decision states while driving. Human data will be collected on reaction time, interpretation of vehicle decision-making, physiological measures based on galvanic skin response and heart rate, as well as pre-post survey measures for assessing trust in fully-autonomous vehicles. Results will form the foundation for developing and testing HVC profiles that provide individualized interactions and collaborations during driving events. These profiles and the resulting guidelines represent a key deliverable for the project as they will be designed from the outset to improve trust, accessibility, and the overall optimization of fully-autonomous 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.

完全自动驾驶汽车（最爱）代表了运输的关键方向，尤其是对于目前被传统的，手动操作的车辆（例如视觉障碍或老年人）剥夺的人口。 不幸的是，在最爱的设计中，自动驾驶技术对这些人口统计的好处尚未得到充分考虑。这种担忧是一个更大的问题的一部分，其中大多数人根本不相信自动驾驶汽车会满足他们的需求。该项目探讨了在人和最爱之间共享决策信息的新方法。该项目不是以用户看不到或理解的“黑匣子”方式做出决策的现有系统，而是将开发人车协作（HVC）框架，在该框架中，有关车辆决策过程的有效沟通可以提高用户对用户的代理意识和围绕信任最爱的决策。通过研究人们对最爱驱动决策的反应和理解，并开发算法和界面，以帮助最爱以解决这些决定的方式进行交流，HVC框架将促进所有用户对最爱的适当信任，同时在改善服务不足人群的可访问性方面为所有用户提供了实质性好处。 HVC框架将使用高保真驾驶模拟器进行设计和评估，该模拟器测试新的交互方法，以共享关键驾驶事件时共享信息。研究将使用此模拟器和实验平台来操纵驾驶时与决策状态有关的许多变量。将收集有关反应时间，车辆决策的解释，基于电力皮肤反应和心率的生理措施的解释以及评估全自动车辆信任的验证前调查措施。结果将构成开发和测试HVC配置文件的基础，这些HVC配置文件可在驾驶活动期间提供个性化的互动和协作。这些配置文件和最终的指南代表了该项目的关键可交付，因为它们将从一开始就设计起来，以提高信任，可访问性和全自动车辆的总体优化。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识绩效和更广泛影响的评估来通过评估来获得支持的。

项目成果

Does it Press? Investigating the Efficacy of an Ultrasonic Haptic Button Interface for Non-Visual Driving Applications

它按吗？

• DOI: 10.54941/ahfe1003819
• 发表时间: 2023
• 期刊: AHFE International
• 作者: Alsamsam, Maher;Fink, Paul;Brown, Justin;Dimitrov, Velin;Giudice, Nicholas
• 通讯作者: Giudice, Nicholas

Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles

无需视觉即可扩展态势感知：用于全自动驾驶车辆的新型触觉界面

• DOI: 10.1145/3568162.3576975
• 发表时间: 2023
• 期刊: ACM
• 作者: Fink, Paul D.;Abou Allaban, Anas;Atekha, Omoruyi E.;Perry, Raymond J.;Sumner, Emily S.;Corey, Richard R.;Dimitrov, Velin;Giudice, Nicholas A.
• 通讯作者: Giudice, Nicholas A.

Fully Autonomous Vehicles for People with Visual Impairment: Policy, Accessibility, and Future Directions

为视力障碍人士提供的全自动驾驶汽车：政策、可达性和未来方向

• DOI: 10.1145/3471934
• 发表时间: 2021
• 期刊: ACM Transactions on Accessible Computing
• 影响因子: 2.4
• 作者: Fink, Paul D.;Holz, Jessica A.;Giudice, Nicholas A.
• 通讯作者: Giudice, Nicholas A.

The Design of Mid-Air Ultrasonic Haptic Interfaces Based on the Perception of Lines

基于线感知的空中超声触觉界面设计

• DOI: 10.54941/ahfe1003586
• 发表时间: 2023
• 期刊: AHFE International
• 作者: Loranger, Jacob;Brown, Justin;Kindler, Henry;Fink, Paul;Dimitrov, Velin;Giudice, Nicholas
• 通讯作者: Giudice, Nicholas

Give us something to chauffeur it: Exploring user needs in traditional and fully autonomous ridesharing for people who are blind or visually impaired

给我们一些东西来驾驶它：探索盲人或视障人士在传统和完全自主的乘车共享中的用户需求

• DOI: 10.1016/j.trf.2023.09.004
• 发表时间: 2023
• 期刊: Transportation Research Part F: Traffic Psychology and Behaviour
• 作者: Fink, Paul D.S.;Alsamsam, Maher;Brown, Justin R.;Kindler, Henry D.;Giudice, Nicholas A.
• 通讯作者: Giudice, Nicholas A.