Effect of cognitive load in autonomous vehicles on driver performance during transfer of control

Mishel Johns, S. Sibi, Wendy Ju
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引用次数: 19

Abstract

Present study on cognitive workload in driving focuses on reduction of workload for better driving performance. In this paper, we talk about the cognitive load in drivers of autonomous cars and their performance under multiple cognitive loads. Our previous studies have indicated that low to no workload is likely to induce drowsiness in drivers of autonomous vehicles. We hypothesize that there is an optimal cognitive load for a driver during autonomous driving for best performance after transfer of control from autonomous to manual. We propose an experiment to study the cognitive load on the driver of a simulated autonomous car and the effects on manual driving performance. We also describe our use of biometric devices to obtain physiological measures indicative of cognitive workload.
自动驾驶汽车认知负荷对驾驶员控制转移行为的影响
目前对驾驶认知负荷的研究主要集中在减少驾驶负荷以提高驾驶性能。本文讨论了自动驾驶汽车驾驶员的认知负荷及其在多种认知负荷下的表现。我们之前的研究表明,低负荷或无负荷很可能会导致自动驾驶汽车驾驶员的困倦。我们假设驾驶员在自动驾驶过程中存在一个最佳认知负荷,以便在从自动驾驶转向手动驾驶后获得最佳性能。为了研究模拟自动驾驶汽车驾驶员的认知负荷及其对手动驾驶性能的影响,提出了一项实验。我们还描述了我们使用生物识别设备来获得指示认知工作量的生理测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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