Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving

被引:3
|
作者
Dixon, Liza [1 ,2 ]
Schneider, Norbert [1 ]
Usai, Marcel [3 ,4 ]
Herzberger, Nicolas Daniel [3 ,4 ]
Flemisch, Frank O. [3 ,4 ]
Baumann, Martin [2 ]
机构
[1] Robert Bosch GmbH, Adv Engn Projects, Gerlingen, Germany
[2] Ulm Univ, Human Factors, Ulm, Germany
[3] Fraunhofer FKIE, Balanced Human Syst Integrat bHSI, Wachtberg, Germany
[4] Rhein Westfal TH Aachen, Inst Ind Engn & Ergon IAW, Aachen, Germany
关键词
Human-Machine Interaction; Driving Automation; Haptics; Control Authority; Change Control Authority; SITUATION AWARENESS; MANAGEMENT; DESIGN; TRUST; FRAMEWORK; HUMANS;
D O I
10.1145/3580585.3607159
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Future automated driving systems (ADS) are discussed as having the ability to "override" driver control inputs. Yet, little is known about how drivers respond to this, nor how a human-machine interaction (HMI) for them should be designed. This work identifies intervention types associated with an ADS that has change control authority and outlines an experiment method which simulates a deficit in driver situation awareness, enabling the study of their responses to interventions in a controlled environment. In a simulator study (N = 18), it was found that drivers express more negative valence when their control input is blocked (p =.046) than when it is taken away. In safety-critical scenarios, drivers respond more positively to interventions (p =.021) and are willing to give the automation more control (p =.018). An experimental method and HMI design insights are presented and ethical questions about the development of automated driving are provoked.
引用
收藏
页码:145 / 155
页数:11
相关论文
共 50 条
  • [31] Driver–vehicle cooperation: a hierarchical cooperative control architecture for automated driving systems
    Chunshi Guo
    Chouki Sentouh
    Jean-Baptiste Haué
    Jean-Christophe Popieul
    Cognition, Technology & Work, 2019, 21 : 657 - 670
  • [32] Driver-automation shared steering control for highly automated vehicles
    Liu, Jun
    Guo, Hongyan
    Song, Linhuan
    Dai, Qikun
    Chen, Hong
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (09)
  • [33] Driver-automation shared steering control for highly automated vehicles
    Jun Liu
    Hongyan Guo
    Linhuan Song
    Qikun Dai
    Hong Chen
    Science China Information Sciences, 2020, 63
  • [34] Driver-automation shared steering control for highly automated vehicles
    Jun LIU
    Hongyan GUO
    Linhuan SONG
    Qikun DAI
    Hong CHEN
    Science China(Information Sciences), 2020, 63 (09) : 67 - 82
  • [35] Driver's Information Needs in Automated Driving
    Xing, Huining
    Qin, Hua
    Niu, Jianwei
    CROSS-CULTURAL DESIGN, 2017, 10281 : 736 - 744
  • [36] Consequences of driver adaptation in fully automated driving
    Popp, Michael
    AT-AUTOMATISIERUNGSTECHNIK, 2017, 65 (07) : 489 - 494
  • [37] Driver distraction and inattention in the realm of automated driving
    Cunningham, Mitchell L.
    Regan, Michael A.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12 (06) : 407 - 413
  • [38] Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation
    Li, Qingkun
    Su, Yizi
    Wang, Wenjun
    Wang, Zhenyuan
    He, Jibo
    Li, Guofa
    Zeng, Chao
    Cheng, Bo
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (10) : 11278 - 11292
  • [39] Differences in driver takeover performance and physiological responses in conditionally automated driving: Links to emotional instability
    Huang, Jing
    Long, Xiaofang
    Qi, Chenggong
    Hu, Lin
    Gao, Kun
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 105 : 73 - 86
  • [40] Driver-Automated Cooperation Driving Authority Optimization Framework for Shared Steering Control
    Yan, Shuting
    Wei, Qingsong
    Xie, Xianyi
    Zhao, Dingxuan
    Liu, Xinyu
    PROCESSES, 2024, 12 (11)