What determines the take-over time? An integrated model approach of driver take-over after automated driving

被引:321
作者
Zeeb, Kathrin [1 ,2 ]
Buchner, Axel [2 ]
Schrauf, Michael [1 ,2 ]
机构
[1] Daimler AG, Res & Dev, D-71032 Boblingen, Germany
[2] Univ Dusseldorf, Dept Expt Psychol, D-40225 Dusseldorf, Germany
关键词
Automated driving; Eye movements; Driver distraction; Driver take-over; Visual attention; Driving simulator; VISUAL-ATTENTION; SITUATION AWARENESS; COGNITIVE LOAD; PERFORMANCE; INFORMATION; EXPERIENCE; BEHAVIOR; SAFETY; NOVICE; LEVEL;
D O I
10.1016/j.aap.2015.02.023
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
In recent years the automation level of driver assistance systems has increased continuously. One of the major challenges for highly automated driving is to ensure a safe driver take-over of the vehicle guidance. This must be ensured especially when the driver is engaged in non-driving related secondary tasks. For this purpose it is essential to find indicators of the driver's readiness to take over and to gain more knowledge about the take-over process in general. A simulator study was conducted to explore how drivers' allocation of visual attention during highly automated driving influences a take-over action in response to an emergency situation. Therefore we recorded drivers' gaze behavior during automated driving while simultaneously engaging in a visually demanding secondary task, and measured their reaction times in a take-over situation. According to their gaze behavior the drivers were categorized into "high", "medium" and "low-risk". The gaze parameters were found to be suitable for predicting the readiness to take-over the vehicle, in such a way that high-risk drivers reacted late and more often inappropriately in the take-over situation. However, there was no difference among the driver groups in the time required by the drivers to establish motor readiness to intervene after the take-over request. An integrated model approach of driver behavior in emergency take-over situations during automated driving is presented. It is argued that primarily cognitive and not motor processes determine the takeover time. Given this, insights can be derived for further research and the development of automated systems. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:212 / 221
页数:10
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