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

被引:56
|
作者
Ma, Zheng [1 ]
Zhang, Yiqi [1 ]
机构
[1] Penn State Univ, Dept Ind & Mfg Engn, State Coll, PA 16801 USA
基金
美国国家科学基金会;
关键词
Automated vehicles; Driving style; Trust; Takeover; E-GOVERNMENT SERVICES; USER ACCEPTANCE; INTEGRATING TRUST; TECHNOLOGY; RISKY; PERSONALITY; COMFORT; MODEL; AGE;
D O I
10.1016/j.aap.2021.106238
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
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. Thirtytwo 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.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Drivers' gap acceptance during parking maneuvers as a basis for initiating driving actions in automated vehicles
    Hensch, Ann-Christin
    Beggiato, Matthias
    Krems, Josef F.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 92 : 133 - 142
  • [42] Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing
    Abe, Genya
    Sato, Kenji
    Itoh, Makoto
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2018, 48 (01) : 85 - 94
  • [43] Compatibility between Trust and Non - Driving Related Tasks in UI Design for Highly and Fully Automated Driving
    Miglani, Abhijai
    Terken, Jacques
    Diels, Cyriel
    AUTOMOTIVEUI 2016: 8TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2016, : 75 - 80
  • [44] Effects of non-driving-related tasks on takeover performance in different takeover situations in conditionally automated driving
    Dogan, Ebru
    Honnet, Vincent
    Masfrand, Stephan
    Guillaume, Anne
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 : 494 - 504
  • [45] Behavioral adaptation of drivers when driving among automated vehicles
    Aramrattana M.
    Fu J.
    Selpi J.
    Journal of Intelligent and Connected Vehicles, 2022, 5 (03): : 309 - 315
  • [46] Assessing the effect of long-automated driving operation, repeated take-over requests, and driver's characteristics on commercial motor vehicle drivers' driving behavior and reaction time in highly automated vehicles
    Samani, Ali Riahi
    Mishra, Sabyasachee
    Dey, Kakan
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2022, 84 : 239 - 261
  • [47] Classification of Automated Lane-Change Styles by Modeling and Analyzing Truck Driver Behavior: A Driving Simulator Study
    Wang, Zheng
    Guan, Muhua
    Lan, Jin
    Yang, Bo
    Kaizuka, Tsutomu
    Taki, Junichi
    Nakano, Kimihiko
    IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 3 : 772 - 785
  • [48] Where drivers are looking at during takeover: Implications for safe takeovers during conditionally automated driving
    Huang, Chao
    Yang, Bo
    Nakano, Kimihiko
    TRAFFIC INJURY PREVENTION, 2023, 24 (07) : 599 - 608
  • [49] Perceived risk and acceptance of automated vehicles users to unexpected hazard situations in real driving conditions
    Perez-Moreno, Elisa
    Naranjo, Jose E.
    Hernandez, Maria J.
    Ruiz, Trinidad
    Valle, Alfredo
    Cruz, Alberto
    Serradilla, Francisco
    Jimenez, Felipe
    BEHAVIOUR & INFORMATION TECHNOLOGY, 2025,
  • [50] The roles of initial trust and perceived risk in public's acceptance of automated vehicles
    Zhang, Tingru
    Tao, Da
    Qu, Xingda
    Zhang, Xiaoyan
    Lin, Rui
    Zhang, Wei
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 98 : 207 - 220