超车
控制(管理)
向导
可用性
运输工程
工程类
模拟
人机交互
毒物控制
绿野仙踪
计算机科学
航空学
计算机安全
应用心理学
人工智能
心理学
万维网
环境卫生
医学
作者
Annie Rydström,Mattias Söderholm Mullaart,Fjollë Novakazi,Mikael Johansson,Alexander Eriksson
出处
期刊:Human Factors
[SAGE]
日期:2022-02-25
卷期号:65 (8): 1841-1857
被引量:3
标识
DOI:10.1177/00187208211053460
摘要
Objective The objective of this semi-controlled study was to investigate drivers’ performance when resuming control from an Automated Driving System (ADS), simulated through the Wizard of Oz method, in real traffic. Background Research on take-overs has primarily focused on urgent scenarios. This article aims to shift the focus to non-critical take-overs from a system operating in congested traffic situations. Method Twenty drivers drove a selected route in rush-hour traffic in the San Francisco Bay Area, CA, USA. During the drive, the ADS became available when predetermined availability conditions were fulfilled. When the system was active, the drivers were free to engage in non-driving related activities. Results The results show that drivers’ transition time goes down with exposure, making it reasonable to assume that some experience is required to regain control with comfort and ease. The novel analysis of after-effects of automated driving on manual driving performance implies that the after-effects were close to negligible. Observational data indicate that, with exposure, a majority of the participants started to engage in non-driving related activities to some extent, but it is unclear how the activities influenced the take-over performance. Conclusion The results indicate that drivers need repeated exposure to take-overs to be able to fully resume manual control with ease. Application Take-over signals (e.g., visuals, sounds, and haptics) should be carefully designed to avoid startle effects and the human-machine interface should provide clear guidance on the required take-over actions.
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