在正常和昏昏欲睡的驾驶条件下对自动驾驶汽车的信任度

Nichole L. Morris, Curtis M. Craig, Katelyn R. Schwieters
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引用次数: 0

摘要

大幅减少交通死亡人数的一个途径是实施自动驾驶汽车。然而,自动化的扩散依赖于公众的接受程度,消除偏见可能是说服公众相信自动驾驶汽车安全效益的有效方法。研究小组调查了186名成年人对疲劳驾驶的舒适程度、对自动驾驶汽车的信任程度,以及如果他们在开车时睡着了,他们是否会信任自动驾驶汽车。年龄和疲劳驾驶舒适度的增加预示着对自动驾驶汽车整体信任度的降低,而只有年龄能预测困倦驾驶时对自动驾驶汽车的信任度。当考虑到开车打瞌睡的危险情况时,参与者对自动驾驶汽车的信任增加了。识别驾驶员信任自动化的其他情况是消除对驾驶的过度自信,并在自动化可能更优越的情况下增加公众对自动化的信任的一个关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust in Automated Vehicles under Normal and Drowsy Driving Conditions
One path to significantly reducing traffic deaths is the implementation of automated vehicles. However, the proliferation of automation relies on public acceptance, and debiasing can be a useful approach to persuade the public of the safety benefits of automated vehicles. The research team surveyed 186 adults about their comfort level on drowsy driving, trust in automated vehicles, and whether they would trust an automated vehicle if they were falling asleep at the wheel. Increased age and drowsy driving comfort level predicted a lower level of overall trust in automated vehicles, while only age predicted degree of trust in automated vehicles when sleepy. Participants’ trust in automated vehicles increased when considering the risky circumstance of nodding off at the wheel. Identifying other cases in which drivers would trust automation is one key to de-biasing overconfidence in one’s driving and increasing public trust of automation in situations when automation may be superior.
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