Cognitive and Driving Performance of Individuals With a History of Concussion in Conditionally Automated Vehicles

IF 2.2 4区 工程技术 Q2 ENGINEERING, CIVIL
Fabiha Islam, Vipul Lugade, Stanley Hunter, Max Kammerman, Karyssa Bowron, Michael Dulas, Mei-Hsiu Chen, Mark Fuchs, Clayton Battle, Chao Shi
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Abstract

Concussion represents a global health challenge affecting cognitive, motor, perceptual and behavioural tasks. Concussed individuals often experience impairments that impact driving performance, yet research on driving abilities, particularly in conditionally automated vehicles (CAVs), remains limited. We evaluated the cognitive and driving performances of individuals with a history of concussion in CAVs using a fixed-base driving simulator. Fourteen healthy and 14 concussed participants performed multiple takeover tasks across repeated trials while engaged in a nondriving-related task. Cognitive states, such as mental workload (MWL) and situational awareness (SA), were assessed using the NASA task load index, the SA rating technique and the situation present assessment method, while driving performance metrics included takeover time and success rates. Results indicated no significant differences between the groups’ overall MWL, SA and driving performance. However, analysis of learning effects across multiple takeovers and trials revealed that the healthy group showed significantly more improvements in SA than the concussed group. These findings suggest that while individuals with a history of concussion may not experience significant impairments in specific driving tasks or overall SA and MWL, subtle differences may persist in their ability to learn, access and process information, potentially affecting decision-making and safety. Overall, this study underscores the need for further investigations into the effects of concussion on driving CAVs and development of tailored support systems for affected individuals.

有条件自动驾驶车辆中有脑震荡史个体的认知和驾驶表现
脑震荡是一种影响认知、运动、感知和行为任务的全球性健康挑战。脑震荡患者通常会经历影响驾驶性能的损伤,但对驾驶能力的研究,特别是对有条件自动驾驶汽车(cav)的研究仍然有限。我们使用固定基座驾驶模拟器评估了有脑震荡病史的CAVs个体的认知和驾驶表现。14名健康和14名脑震荡的参与者在进行与驾驶无关的任务时,在重复试验中执行多项接管任务。认知状态,如心理负荷(MWL)和态势感知(SA),评估使用NASA任务负荷指数,SA评级技术和态势现状评估方法,而驱动性能指标包括接管时间和成功率。结果显示,两组之间的总体MWL、SA和驾驶性能无显著差异。然而,对多个接管和试验的学习效果的分析显示,健康组在SA方面的改善明显超过脑震荡组。这些研究结果表明,虽然有脑震荡病史的个体在特定驾驶任务或整体SA和MWL方面可能没有明显的损伤,但他们在学习、获取和处理信息的能力方面可能存在细微的差异,这可能会影响决策和安全。总的来说,这项研究强调需要进一步调查脑震荡对驾驶cav的影响,并为受影响的个人开发量身定制的支持系统。
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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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