如何要求司机在自动驾驶期间为收购做好准备

IF 5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-02-01 Epub Date: 2025-01-23 DOI:10.1016/j.trf.2025.01.017
Yanbin Wu, Kunihiro Hasegawa, Ken Kihara
{"title":"如何要求司机在自动驾驶期间为收购做好准备","authors":"Yanbin Wu,&nbsp;Kunihiro Hasegawa,&nbsp;Ken Kihara","doi":"10.1016/j.trf.2025.01.017","DOIUrl":null,"url":null,"abstract":"<div><div>Automated vehicles, with the exception of those featuring Level 5 full automation, necessitate drivers to take over control during transitions. By splitting a typical control transition into a preparation request and a takeover request, the two-stage takeover procedure aims to enhance driver performance during transitions. However, the effectiveness of this strategy depends on drivers’ compliance with the preparation request, especially in the context of level 4 automated driving where drivers can completely disengage from the driving task and need to resume control on planned transitions. In this study, we conducted six simulator-based experiments to investigate the efficacy of six human machine interface (HMI) proposed to support driver monitoring behavior during the preparation period. A total of 120 participants (60 females and 60 males, aged 39.8 ± 11.3 years old), with 20 participants in each of the six experiments, took part in the study. We measured drivers’ takeover performance, monitoring behaviors, and subjective acceptance to assess the effectiveness of the HMI elements. The results indicate that the two-stage takeover procedure, which requests drivers’ attention for a brief period, can enhance drivers’ monitoring behaviors and their performance during the transition without negatively impacting their subjective acceptance of automated vehicles. Additionally, the findings underscore the importance of tailoring HMI design based on the system’s functionality. Specifically, the hands-on-wheel requirement appears to be effective in promoting drivers’ monitoring behavior and takeover performance without additional system requirements. Adapting the two-stage takeover to specific contexts and system capabilities can enhance drivers’ performance and acceptance, crucial for the successful integration of automated vehicles onto public roads.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 938-950"},"PeriodicalIF":5.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to request drivers to prepare for takeovers during automated driving\",\"authors\":\"Yanbin Wu,&nbsp;Kunihiro Hasegawa,&nbsp;Ken Kihara\",\"doi\":\"10.1016/j.trf.2025.01.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Automated vehicles, with the exception of those featuring Level 5 full automation, necessitate drivers to take over control during transitions. By splitting a typical control transition into a preparation request and a takeover request, the two-stage takeover procedure aims to enhance driver performance during transitions. However, the effectiveness of this strategy depends on drivers’ compliance with the preparation request, especially in the context of level 4 automated driving where drivers can completely disengage from the driving task and need to resume control on planned transitions. In this study, we conducted six simulator-based experiments to investigate the efficacy of six human machine interface (HMI) proposed to support driver monitoring behavior during the preparation period. A total of 120 participants (60 females and 60 males, aged 39.8 ± 11.3 years old), with 20 participants in each of the six experiments, took part in the study. We measured drivers’ takeover performance, monitoring behaviors, and subjective acceptance to assess the effectiveness of the HMI elements. The results indicate that the two-stage takeover procedure, which requests drivers’ attention for a brief period, can enhance drivers’ monitoring behaviors and their performance during the transition without negatively impacting their subjective acceptance of automated vehicles. Additionally, the findings underscore the importance of tailoring HMI design based on the system’s functionality. Specifically, the hands-on-wheel requirement appears to be effective in promoting drivers’ monitoring behavior and takeover performance without additional system requirements. Adapting the two-stage takeover to specific contexts and system capabilities can enhance drivers’ performance and acceptance, crucial for the successful integration of automated vehicles onto public roads.</div></div>\",\"PeriodicalId\":48355,\"journal\":{\"name\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"volume\":\"109 \",\"pages\":\"Pages 938-950\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part F-Traffic Psychology and Behaviour\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369847825000178\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part F-Traffic Psychology and Behaviour","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369847825000178","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

自动驾驶汽车,除了具有5级全自动驾驶功能的汽车外,都需要驾驶员在过渡期间接管控制权。通过将典型的控制转换分解为准备请求和接管请求,两阶段接管过程旨在提高转换期间的驱动程序性能。然而,这一策略的有效性取决于驾驶员是否遵守准备要求,特别是在4级自动驾驶的背景下,驾驶员可以完全脱离驾驶任务,需要在计划过渡时恢复控制。在本研究中,我们进行了六项基于模拟器的实验,以研究在准备阶段提出的六种人机界面(HMI)的有效性,以支持驾驶员监控行为。共120名受试者参与研究,其中女性60名,男性60名,年龄39.8±11.3岁,6个实验各20名。我们测量了驾驶员的接管绩效、监控行为和主观接受度,以评估HMI要素的有效性。结果表明,两阶段接管程序要求驾驶员在短时间内关注,可以增强驾驶员在过渡期间的监控行为和绩效,而不会对驾驶员对自动驾驶汽车的主观接受度产生负面影响。此外,研究结果强调了基于系统功能定制HMI设计的重要性。具体来说,手握方向盘的要求似乎在没有额外系统要求的情况下有效地促进了驾驶员的监控行为和接管绩效。根据特定的环境和系统功能调整两阶段接管可以提高驾驶员的表现和接受度,这对于成功将自动驾驶车辆整合到公共道路上至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
How to request drivers to prepare for takeovers during automated driving
Automated vehicles, with the exception of those featuring Level 5 full automation, necessitate drivers to take over control during transitions. By splitting a typical control transition into a preparation request and a takeover request, the two-stage takeover procedure aims to enhance driver performance during transitions. However, the effectiveness of this strategy depends on drivers’ compliance with the preparation request, especially in the context of level 4 automated driving where drivers can completely disengage from the driving task and need to resume control on planned transitions. In this study, we conducted six simulator-based experiments to investigate the efficacy of six human machine interface (HMI) proposed to support driver monitoring behavior during the preparation period. A total of 120 participants (60 females and 60 males, aged 39.8 ± 11.3 years old), with 20 participants in each of the six experiments, took part in the study. We measured drivers’ takeover performance, monitoring behaviors, and subjective acceptance to assess the effectiveness of the HMI elements. The results indicate that the two-stage takeover procedure, which requests drivers’ attention for a brief period, can enhance drivers’ monitoring behaviors and their performance during the transition without negatively impacting their subjective acceptance of automated vehicles. Additionally, the findings underscore the importance of tailoring HMI design based on the system’s functionality. Specifically, the hands-on-wheel requirement appears to be effective in promoting drivers’ monitoring behavior and takeover performance without additional system requirements. Adapting the two-stage takeover to specific contexts and system capabilities can enhance drivers’ performance and acceptance, crucial for the successful integration of automated vehicles onto public roads.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
期刊最新文献
Effects of augmented reality head-up displays and cognitive workload on takeovers in semi-automated driving A population-based survey of street racing and stunt driving during COVID-19 in Ontario, Canada: a test of the Person-Situation Interactionist Model Driving education advancements of novice drivers: A review of studies in the United States From risk to service: how a first Robotaxi ride shifts priorities, trust, and repeat use The potential of visual acceleration signals for pedestrians' time-to-collision estimation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1