Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non–Driving-Related Tasks in Automated Vehicles

驾驶模拟器 平视显示器 工作量 移动电话 分散注意力 电话 眼动 模拟 计算机科学 毒物控制 凝视 人机交互 人工智能 心理学 操作系统 哲学 神经科学 环境卫生 电信 医学 语言学
作者
Xiaomeng Li,Ronald Schroeter,Andry Rakotonirainy,Jonny Kuo,Michael G. Lenné
出处
期刊:Human Factors [SAGE]
卷期号:65 (8): 1759-1775 被引量:4
标识
DOI:10.1177/00187208211056200
摘要

Objective The study aims to investigate the potential of using HUD (head-up display) as an approach for drivers to engage in non–driving-related tasks (NDRTs) during automated driving, and examine the impacts on driver state and take-over performance in comparison to the traditional mobile phone. Background Advances in automated vehicle technology have the potential to relieve drivers from driving tasks so that they can engage in NDRTs freely. However, drivers will still need to take-over control under certain circumstances. Method A driving simulation experiment was conducted using an Advanced Driving Simulator and real-world driving videos. Forty-six participants completed three drives in three display conditions, respectively (HUD, mobile phone and baseline without NDRT). The HUD was integrated with the vehicle in displaying NDRTs while the mobile phone was not. Drivers’ visual (e.g. gaze, blink) and physiological (e.g. ECG, EDA) data were collected to measure driver state. Two take-over reaction times (hand and foot) were used to measure take-over performance. Results The HUD significantly shortened the take-over reaction times compared to the mobile phone condition. Compared to the baseline condition, drivers in the HUD condition also experienced lower cognitive workload and physiological arousal. Drivers’ take-over reaction times were significantly correlated with their visual and electrodermal activities during automated driving prior to the take-over request. Conclusion HUDs can improve driver performance and lower workload when used as an NDRT interface. Application The study sheds light on a promising approach for drivers to engage in NDRTs in future AVs.
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
隐形曼青应助飞羽采纳,获得10
1秒前
Orange应助123采纳,获得10
3秒前
上官若男应助七十七asdmn采纳,获得10
4秒前
搜集达人应助张张采纳,获得10
4秒前
公西富给公西富的求助进行了留言
5秒前
vikoel完成签到,获得积分10
9秒前
9秒前
Rui完成签到,获得积分20
10秒前
11秒前
11秒前
yizhimcfu完成签到,获得积分10
13秒前
orixero应助酷酷紫蓝采纳,获得10
16秒前
FashionBoy应助文静的丹南采纳,获得10
17秒前
沈括完成签到,获得积分10
18秒前
幽芊细雨发布了新的文献求助10
27秒前
Jasper应助酱酱酱采纳,获得10
27秒前
雨er完成签到 ,获得积分10
28秒前
小李子发布了新的文献求助10
28秒前
29秒前
30秒前
30秒前
34发布了新的文献求助10
33秒前
学海无涯发布了新的文献求助10
34秒前
36秒前
37秒前
37秒前
zzzzs发布了新的文献求助10
39秒前
阿莫仙完成签到,获得积分10
39秒前
逯逯逯发布了新的文献求助10
42秒前
学海无涯完成签到,获得积分10
45秒前
852应助傲娇幼荷采纳,获得10
45秒前
zzzzs完成签到,获得积分10
48秒前
50秒前
50秒前
50秒前
52秒前
公西富发布了新的文献求助10
56秒前
英俊的铭应助llzuo采纳,获得10
57秒前
WU发布了新的文献求助10
59秒前
59秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
[Lambert-Eaton syndrome without calcium channel autoantibodies] 520
Pressing the Fight: Print, Propaganda, and the Cold War 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2471096
求助须知:如何正确求助?哪些是违规求助? 2137808
关于积分的说明 5447354
捐赠科研通 1861761
什么是DOI,文献DOI怎么找? 925900
版权声明 562740
科研通“疑难数据库(出版商)”最低求助积分说明 495275