A Spatial-Temporal Analysis of Brain Activation to Explain the Take-Over Failure in Conditionally Automated Driving

Weiru Yin, Chen Chai, Shixuan Weng, Xiupeng Shi
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Abstract

ObjectiveThis study aims to investigate the causes of take-over failures in conditional automated driving with spatial-temporal analysis of brain zone activation.BackgroundTake-over requires a human driver to resume the control of the vehicle when its automation system disengages. Existing studies have found that take-over failures occur frequently on some drivers, but the causes have not been thoroughly studied.MethodIn a driving simulator experiment, 40 drivers took over in critical freeway cut-in situations. Functional near-infrared spectroscopy (fNIRS) data were collected before and during the take-over process to evaluate brain zone activation. Successful and failed take-overs were compared with changes in fNIRS data based on spatial-temporal comparisons and cluster analysis.ResultsThe results suggested a significant difference in temporal brain activation between take-over failure and success conditions. Take-over failure conditions are mostly related to earlier and longer brain activation in most brain zones and repeated activation of the cognition brain zones. Drivers’ attention switches, steering, and braking patterns are also related to different brain zone activation orders.ConclusionThe results indicate the need to reduce the mental workload caused by the sudden system disengagement to prevent take-over failure.ApplicationFuture research and implementation should focus on earlier warnings of upcoming hazards and driver education in dealing with sudden system disengagement.
解释有条件自动驾驶中接管失败的大脑激活时空分析
背景接管要求人类驾驶员在自动驾驶系统脱离时恢复对车辆的控制。方法在驾驶模拟器实验中,40 名驾驶员在高速公路切入的关键情况下进行了接管。在接管前和接管过程中收集了功能性近红外光谱(fNIRS)数据,以评估脑区激活情况。根据空间-时间比较和聚类分析,比较了成功和失败的接管与 fNIRS 数据的变化。接管失败条件主要与大部分脑区的大脑激活时间提前和延长以及认知脑区的重复激活有关。结论结果表明,有必要减少系统突然脱离造成的脑力劳动负荷,以防止接管失败。应用未来的研究和实施应侧重于对即将发生的危险提前发出警告,以及对驾驶员进行应对系统突然脱离的教育。
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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