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在有视觉遮挡和无视觉遮挡的模拟驾驶过程中驾驶员工作量的心脏指标

Cardiac measures of driver workload during simulated driving with and without visual occlusion.

作者信息

Backs Richard W, Lenneman John K, Wetzel Jacob M, Green Paul

机构信息

Department of Psychology, Central Michigan University, Mount Pleasant, Michigan 48859, USA.

出版信息

Hum Factors. 2003;45(4):525-38. doi: 10.1518/hfes.45.4.525.27089.

Abstract

Cardiac (heart rate, pre-ejection period, and respiratory sinus arrhythmia), performance, and visual demand measures of driver workload were obtained from 15 male university students who drove a simulated course multiple times at a fixed speed of 72.4 km/h. The course contained curves of 3 different radii (582, 291, and 194 m) and was driven with and without visual occlusion of the road scene to manipulate driver workload. Visual occlusion of the road scene significantly reduced driving performance but did not affect the cardiac measures. Driving performance significantly deteriorated and visual demand significantly increased as curve radius decreased. The cardiac measures were differentially affected by curve radius, indicating different modes of autonomic control for the 291-m curve as compared with the 582- and 194-m curves. The patterns of dissociation across the cardiac, performance, and visual demand measures were interpreted as being capable of isolating the perceptual demands of driving from the central and motor processing demands. A potential application of this research is that the combination of psychophysiological and visual occlusion methodologies are a powerful research tool to assess performance and processing resource cost trade-offs associated with using advanced in-vehicle technologies.

摘要

从15名男性大学生中获取了驾驶员工作负荷的心脏指标(心率、射血前期和呼吸性窦性心律不齐)、绩效指标以及视觉需求指标。这些学生以72.4公里/小时的固定速度多次驾驶模拟路线。该路线包含3种不同半径(582米、291米和194米)的弯道,且在有和没有道路场景视觉遮挡的情况下驾驶,以操控驾驶员的工作负荷。道路场景的视觉遮挡显著降低了驾驶绩效,但未影响心脏指标。随着弯道半径减小,驾驶绩效显著恶化,视觉需求显著增加。心脏指标受弯道半径的影响不同,表明与582米和194米弯道相比,291米弯道的自主控制模式不同。心脏、绩效和视觉需求指标之间的分离模式被解释为能够将驾驶的感知需求与中枢和运动处理需求区分开来。这项研究的一个潜在应用是,心理生理学和视觉遮挡方法的结合是一种强大的研究工具,可用于评估与使用先进车载技术相关的绩效和处理资源成本权衡。

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