Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles

人为因素与人体工程学 风格(视觉艺术) 安全驾驶 工程类 驾驶模拟器 毒物控制 心理学 计算机安全 汽车工程 计算机科学 模拟 医学 历史 环境卫生 考古
作者
Zheng Ma,Yiqi Zhang
出处
期刊:Accident Analysis & Prevention [Elsevier BV]
卷期号:159: 106238-106238 被引量:90
标识
DOI:10.1016/j.aap.2021.106238
摘要

• The study investigates the interaction between driver’s and AV’s driving styles. • AV’s driving styles aligning with drivers’ promote driver’s trust and acceptance. • The influence of driver trust on takeover frequency is mediated by driver acceptance. • AV’s driving styles against drivers reduce trust and increase takeover frequency. Automated Vehicle (AV) technology has the potential to significantly improve driver safety. Unfortunately, drivers could be reluctant to ride with AVs due to their lack of trust and acceptance of AVs’ driving styles. The present study investigated the effects of the designed driving style of AV (aggressive/defensive) and driver’s driving style (aggressive/defensive) on driver's trust, acceptance, and take-over behavior in a fully AV. Thirty-two participants were classified into two groups based on their driving styles using the Aggressive Driving Scale and experienced twelve driving scenarios in either an aggressive AV or a defensive AV. Results revealed that driver’s trust, acceptance, and takeover frequency were significantly influenced by the interaction effects between AV’s driving style and driver’s driving style. General estimating equations were conducted to analyze the relationships between driver’s trust, acceptance, and take over frequency. The results showed that the effect of driver’s trust in AVs on takeover frequency was mediated by driver’s acceptance of AVs. These findings implied that driver’s trust and acceptance of AVs could be enhanced when the designed AV’s driving style aligned with driver’s own driving style, which in turn, reduce undesired take over behavior. However, the “aggressive” AV driving style should be designed carefully considering driver safety.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
wangmanli发布了新的文献求助10
1秒前
核桃发布了新的文献求助10
2秒前
科研通AI6应助Qqqq采纳,获得30
2秒前
2秒前
咕咕发布了新的文献求助10
2秒前
3秒前
dhh发布了新的文献求助30
3秒前
linglingling完成签到 ,获得积分10
4秒前
跬步一积完成签到,获得积分10
4秒前
无名花生发布了新的文献求助10
4秒前
5秒前
脑洞疼应助震动的幻柏采纳,获得30
5秒前
嘤嘤发布了新的文献求助10
5秒前
共享精神应助自然的千青采纳,获得10
6秒前
6秒前
11111发布了新的文献求助10
6秒前
7秒前
Xgg发布了新的文献求助20
7秒前
8秒前
ttt发布了新的文献求助10
8秒前
wtian完成签到,获得积分10
8秒前
打打应助玉yu采纳,获得10
8秒前
华仔应助bzzx采纳,获得10
8秒前
10秒前
insane发布了新的文献求助10
10秒前
旺旺小面包完成签到 ,获得积分10
10秒前
缓慢咖啡完成签到,获得积分10
11秒前
11秒前
快乐的故事完成签到,获得积分10
11秒前
爆米花应助AHR采纳,获得10
13秒前
13秒前
慕青应助AHR采纳,获得10
13秒前
华仔应助AHR采纳,获得10
13秒前
深情安青应助AHR采纳,获得10
13秒前
13秒前
pipi发布了新的文献求助10
13秒前
13秒前
14秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
《微型计算机》杂志2006年增刊 1600
Einführung in die Rechtsphilosophie und Rechtstheorie der Gegenwart 1500
Binary Alloy Phase Diagrams, 2nd Edition 1000
Air Transportation A Global Management Perspective 9th Edition 700
DESIGN GUIDE FOR SHIPBOARD AIRBORNE NOISE CONTROL 600
NMR in Plants and Soils: New Developments in Time-domain NMR and Imaging 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4960895
求助须知:如何正确求助?哪些是违规求助? 4221348
关于积分的说明 13146580
捐赠科研通 4005074
什么是DOI,文献DOI怎么找? 2191860
邀请新用户注册赠送积分活动 1205932
关于科研通互助平台的介绍 1116970