对自动驾驶的信任:未来的安眠药?

Thomas Kundinger, Philipp Wintersberger, A. Riener
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引用次数: 17

摘要

对技术的过度信任和疲劳驾驶都是安全问题。监控系统是一项繁琐的任务,对技术的过度信任也可能影响司机的警惕性,这反过来又会使这两个问题的负面影响成倍增加。这项研究的目的是调查对自动化的信任是否会影响睡意。两个年龄组的30名参与者在真实的测试轨道上乘坐二级车辆进行了45分钟的骑行。用主观信任量表评估骑行前后的信任程度。在实验中使用卡罗林斯卡嗜睡量表来记录嗜睡。结果表明,即使是短暂的初始系统暴露也会显著增加对自动驾驶的信任。更信任自动驾驶汽车的司机表现出更大的困倦迹象,这可能会对监控行为产生负面影响。睡意检测对自动驾驶汽车很重要,昏昏欲睡的司机的行为可能有助于以一种不引人注目的方式推断信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow?
Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.
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