An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle

Yucheng Yang, B. Karakaya, G. C. Dominioni, K. Kawabe, K. Bengler
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引用次数: 42

Abstract

At a level-3 or higher level automation [1], a driver does not have to constantly monitor the vehicle and environment while driving, which enables the driver to conduct non-driving-related tasks (NDRTs) and be out of the control loop. This may influence a driver's visual behavior, cognitive states, which leads to loss of situation awareness (SA) and skills. This is dangerous if the automated system reaches its boundaries: the driver must take-over the driving task in a critical situation within a limited period of time. In this paper, a concise HMI concept of the LED ambient light positioned at the bottom of the windscreen is presented, which contains information about the status and intention of the automation, detected potential hazards and the warning for a take-over request (TOR) by varying the LED's color, frequency, lighting position and animation. The goal is to increase the SA during automated driving and improve the take-over quality while allowing the driver to perform NDRTs without distraction and annoyance. In this between-subject-design experiment in a static driving simulator, 50 participants performed a visual-motoric task on a smartphone during a 45-min automated drive with or without the new HMI. Compared to the baseline, results show significant improvements in the gaze behavior and take-over quality. The new HMI also shows a high acceptance and increases the trust in automation while avoiding overtrust.
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提高自动驾驶汽车驾驶员视觉行为和态势感知的HMI概念
在3级或更高级别的自动化[1]中,驾驶员无需在驾驶过程中持续监控车辆和环境,从而使驾驶员能够执行与驾驶无关的任务(NDRTs)并脱离控制回路。这可能会影响司机的视觉行为、认知状态,从而导致情景意识(SA)和技能的丧失。如果自动化系统达到极限,这将是危险的:驾驶员必须在有限的时间内接管紧急情况下的驾驶任务。本文介绍了位于挡风玻璃底部的LED环境灯的简洁HMI概念,其中包含有关自动化状态和意图的信息,检测到的潜在危险以及通过改变LED的颜色,频率,照明位置和动画来警告接管请求(TOR)。目标是提高自动驾驶过程中的SA,提高接管质量,同时让驾驶员在不分心和烦恼的情况下执行NDRTs。在这个静态驾驶模拟器的受试者设计实验中,50名参与者在有或没有新的HMI的45分钟自动驾驶期间在智能手机上执行视觉运动任务。与基线相比,结果显示凝视行为和接管质量有显著改善。新的人机界面也显示出很高的接受度,增加了对自动化的信任,同时避免了过度信任。
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