Understanding Driver's Situation Awareness in Highly Automated Driving

Young Woo Kim, Da Yeong Kim, S. Yoon
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引用次数: 1

Abstract

This study investigated the influence of road complexity and lead time on driver's situation awareness with three consecutive experiments. 7 participants were asked to watch simulated and real-world driving videos and answer their situation awareness level by SAGAT, SART, and subjective measures. In the first experiment, the effects of road complexity and lead time on the situation awareness level was tested. We found that driver's situation awareness is influenced by road complexity, but lead time had minimal effects. In the second and third experiment, we investigate the effects of traffic density and road type based on the simulated and real-world stimuli. The traffic density affects driver's situation awareness, while the road type did not. This effect was also reproduced in real-world stimuli. In addition, we could find an interesting trend in which people seem to adjust their desired situation awareness level according to the driving contexts.
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了解高度自动驾驶中驾驶员的态势感知
通过3个连续实验,研究了道路复杂性和提前期对驾驶员态势感知的影响。7名参与者被要求观看模拟和真实驾驶视频,并通过SAGAT、SART和主观测量来回答他们的情况意识水平。在第一个实验中,测试了道路复杂性和提前期对态势感知水平的影响。研究发现,驾驶员的态势感知受道路复杂性的影响,但交货期的影响最小。在第二和第三个实验中,我们在模拟和现实刺激的基础上研究了交通密度和道路类型的影响。交通密度对驾驶员的态势感知有影响,道路类型对驾驶员的态势感知没有影响。这种效应也在现实世界的刺激中重现。此外,我们还可以发现一个有趣的趋势,即人们似乎会根据驾驶环境调整他们期望的情境意识水平。
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