任务(项目管理)
车道偏离警告系统
驾驶模拟
驾驶模拟器
纵向研究
心理学
航空学
模拟
计算机科学
工程类
运输工程
数学
统计
系统工程
作者
Jordan Navarro,Emanuelle Reynaud,Maëlle Pelerin,Marie Claude Ouimet,Catherine Gabaude,Damien Schnebelen
出处
期刊:Ergonomics
[Taylor & Francis]
日期:2023-04-19
卷期号:67 (1): 81-94
被引量:6
标识
DOI:10.1080/00140139.2023.2205620
摘要
Lane Departure Warning Systems (LDWS) generate a warning in case of imminent lane departure. LDWS have proven to be effective and associated human-machine cooperation modelled. In this study, LDWS acceptance and its impact on visual and steering behaviour have been investigated over 6 weeks for novice and experienced drivers. Unprovoked lane departures were analysed along three driving tasks gradually more demanding. These observations were compared to a baseline condition without automation. The number of lane departures and their duration were dramatically reduced by LDWS, and a narrower visual spread of search during lane departure events was recorded. The findings confirmed LDWS effectiveness and suggested that these benefits are supported by visuo-attentional guidance. No specific influence of driving experience on LDWS was found, suggesting that similar cognitive processes are engaged with or without driving experience. Drivers' acceptance of LDWS lowered after automation use, but LDWS effectiveness remained stable during prolonged use.
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