Displaying System Situation Awareness Increases Driver Trust in Automated Driving

被引:31
|
作者
Sonoda, Kohei [1 ]
Wada, Takahiro [2 ]
机构
[1] Ritsumeikan Univ, Res Org Sci & Technol, Kyoto 6038577, Japan
[2] Ritsumeikan Univ, Coll Informat Sci & Engn, Kyoto 6038577, Japan
来源
关键词
Autonomous vehicles; driver behavior; human-computer interaction;
D O I
10.1109/TIV.2017.2749178
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Self-driving systems are expected to become increasingly popular in the foreseeable future. However, a driver who is out of the control loop might reduce overall situation awareness by overly trusting automated driving systems. Alternatively, the introduction of automated driving systems could lead to misuse or disuse. For these reasons, an automated driving system should encourage appropriate driver reliance to achieve social acceptance. Imperfect information of the system sensing range might adversely affect trust. This study used a vibrotactile display with an automated driving system to provide situation awareness. The display contributes to driver trust by enabling a driver to predict or perceive actions selected by the system. The display provides spatial information related to traffic objects by haptic stimulus. The driving scenario of passing a motorbike with vehicles approaching from behind was considered. The results of this driving simulator study demonstrated that the spatial information and the behavior of the system affected trust.
引用
收藏
页码:185 / 193
页数:9
相关论文
共 50 条
  • [31] Designing Visual Signals to Support Situation Awareness Recovery in Conditional Automated Driving
    Lee, Okkeun
    Currano, Rebecca
    Miller, Dave
    Kim, Hyochang
    Sirkin, David
    PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2024, 2024, : 248 - 258
  • [32] ThermalDrive - Towards Situation Awareness over Thermal Feedback in Automated Driving Scenarios
    Meng, Xiaru
    Han, Jiawen
    Chernyshov, George
    Ragozin, Kirill
    Kunze, Kai
    COMPANION PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2022 COMPANION, 2022, : 101 - 104
  • [33] Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles
    Ma, Zheng
    Zhang, Yiqi
    ACCIDENT ANALYSIS AND PREVENTION, 2021, 159
  • [34] The effect of peripheral visual feedforward system in enhancing situation awareness and mitigating motion sickness in fully automated driving
    Karjanto, Juffrizal
    Yusof, Nidzamuddin Md.
    Wang, Chao
    Terken, Jacques
    Delbressine, Frank
    Rauterberg, Matthias
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2018, 58 : 678 - 692
  • [35] Vehicle feedback and driver situation awareness
    Barge, Roland
    ERGONOMICS, 2020, 63 (04) : 522 - 522
  • [36] An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle
    Yang, Yucheng
    Karakaya, Burak
    Dominioni, Giancarlo Caccia
    Kawabe, Kyosuke
    Bengler, Klaus
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 650 - 655
  • [37] Impact of Infotainment System Complexity on Driver Situation Awareness in Manual Vehicles
    Boeluekbasi, Elif
    Gerber, Michael A.
    Irawati, Diah A.
    Riener, Andreas
    16TH INTERNATIONAL ACM CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2024, 2024, : 312 - 315
  • [38] How much situation awareness does the driver have when driving autonomously? A study based on driver attention allocation
    Li, Mengfan
    Feng, Zhongxiang
    Zhang, Weihua
    Wang, Lei
    Wei, Liyang
    Wang, Cheng
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 156
  • [39] The Effect of AR-HUD Takeover Assistance Types on Driver Situation Awareness in Highly Automated Driving: A 360-Degree Panorama Experiment
    Wu, Zhendong
    Zhao, Lintao
    Liu, Guocui
    Chai, Jingchun
    Huang, Jierui
    Ai, Xiaoqun
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 40 (20) : 6492 - 6509
  • [40] Assessing the potential impacts of connected vehicle systems on Driver's situation awareness and driving performance
    Tan, Xiaomei
    Zhang, Yiqi
    Wang, Jing
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2022, 84 : 177 - 193