Drivers’ Performance in Non-critical Take-Overs From an Automated Driving System—An On-Road Study

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]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hasee完成签到 ,获得积分10
1秒前
猫猫虫完成签到,获得积分10
2秒前
linyu完成签到 ,获得积分10
4秒前
优秀白曼发布了新的文献求助10
5秒前
猫猫虫发布了新的文献求助10
5秒前
5秒前
Yoo.发布了新的文献求助10
10秒前
翼琳完成签到,获得积分10
12秒前
12秒前
13秒前
酷波er应助科研通管家采纳,获得10
14秒前
深情安青应助科研通管家采纳,获得10
14秒前
乐乐应助科研通管家采纳,获得10
14秒前
夏来应助科研通管家采纳,获得10
14秒前
科研通AI2S应助科研通管家采纳,获得10
14秒前
yufanhui应助科研通管家采纳,获得10
14秒前
慕青应助科研通管家采纳,获得10
14秒前
CipherSage应助科研通管家采纳,获得10
14秒前
科研通AI2S应助科研通管家采纳,获得10
14秒前
CodeCraft应助科研通管家采纳,获得10
14秒前
wanci应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
14秒前
14秒前
wan发布了新的文献求助10
16秒前
上官若男应助纳米狂人采纳,获得10
17秒前
tangyangzju完成签到,获得积分10
17秒前
17秒前
希望天下0贩的0应助Yoo.采纳,获得10
22秒前
合适服饰发布了新的文献求助30
23秒前
25秒前
小二郎完成签到,获得积分10
26秒前
28秒前
29秒前
刻苦的新烟完成签到 ,获得积分10
32秒前
1391451653完成签到,获得积分10
33秒前
34秒前
NexusExplorer应助wan采纳,获得10
35秒前
欧石楠完成签到 ,获得积分10
37秒前
高分求助中
LNG地下式貯槽指針(JGA指-107-19)(Recommended practice for LNG inground storage) 1000
Second Language Writing (2nd Edition) by Ken Hyland, 2019 1000
Generalized Linear Mixed Models 第二版 1000
rhetoric, logic and argumentation: a guide to student writers 1000
QMS18Ed2 | process management. 2nd ed 1000
Operative Techniques in Pediatric Orthopaedic Surgery 510
A High Efficiency Grating Coupler Based on Hybrid Si-Lithium Niobate on Insulator Platform 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2922408
求助须知:如何正确求助?哪些是违规求助? 2566507
关于积分的说明 6938155
捐赠科研通 2222542
什么是DOI,文献DOI怎么找? 1181439
版权声明 588911
科研通“疑难数据库(出版商)”最低求助积分说明 578067