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Effectiveness of forward collision warnings for different driver attention states

机译:前方碰撞警告对于不同驾驶员注意力状态的有效性

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In recent years various collision warning systems for rear-end crash situations have been introduced into the market. Their goal is to reduce the number of fatalities and to mitigate collision consequences. The challenge in the design for such functions is to achieve a high effectiveness for both attentive and inattentive drivers. A possible approach could be an adaptation of the human-machine interface (HMI) to driver attentiveness levels. This paper presents a preliminary study of different visual-acoustical HMI concepts performed in a driving simulator. The participants completed two drives with each warning signal. In the first drive they were distracted by a secondary task and in the second one they were in an attentive state. The statistical analysis of the inattentive drivers' data showed a significant reaction time reduction by employing an acoustical speech warning. A visual alert for inattentive subjects did not result in an additional reduction. Only a simple and intuitive visual display showed a significant reduction of response time for attentive participants. The results of this study show that for varying driver attentiveness levels a warning intensity adaptation is needed in order to increase the benefit and acceptance of the collision warning.
机译:近年来,用于追尾事故情况的各种碰撞警告系统已经引入市场。他们的目标是减少死亡人数并减轻碰撞后果。在设计此类功能时面临的挑战是要为专注和不专心的驾驶员实现高效率。一种可能的方法是使人机界面(HMI)适应驾驶员的注意力水平。本文介绍了在驾驶模拟器中执行的不同视觉HMI概念的初步研究。参与者用每个警告信号完成了两次驾驶。在第一个驱动器中,他们被次要任务分散了注意力,在第二个驱动器中,它们处于专心的状态。对注意力不集中的驾驶员数据的统计分析表明,通过使用声音语音警告可以显着减少反应时间。注意力不集中的受试者的视觉警报不会导致额外的减少。对于一个细心的参与者,只有简单直观的视觉显示才能显着减少响应时间。这项研究的结果表明,对于驾驶员注意力水平的变化,需要提高警告强度,以增加碰撞警告的收益和接受度。

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