Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving

被引:0
|
作者
Yang, Bo [1 ]
Inoue, Koichiro [2 ]
Yan, Zhanhong [1 ]
Wang, Zheng [1 ]
Kitazaki, Satoshi [3 ]
Nakano, Kimihiko [1 ]
机构
[1] Univ Tokyo, Inst Ind Sci, Tokyo 1538505, Japan
[2] Univ Tokyo, Grad Sch Engn, Tokyo 1538505, Japan
[3] Natl Inst Adv Ind Sci & Technol, Human Ctr Mobil Res Ctr, Tsukuba, Ibaraki 3058566, Japan
关键词
Driver behavior; eye-gaze behavior; level 2 automated driving; manual driving; ADAPTIVE CRUISE CONTROL; TRUST; WORKLOAD; SENSITIVITY; PERFORMANCE; FATIGUE; GENDER; BLINK; TIME;
D O I
10.1109/TITS.2023.3308569
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
It is becoming a common scene to observe the usages of level 2 automated driving in our daily life. To ensure driving safety while using the level 2 automated driving systems in various traffic conditions, it is an essential issue to clarify the influences of the level 2 automated driving on driver behaviors. Previous studies normally focused on drivers' reactions to emergency events while using level 2 automated driving. However, it is still unclear that how will drivers interact with the level 2 automated driving systems during the periods when no emergency event occurs. Therefore, a driving simulator experiment was performed, and the differences in driver behaviors, especially eye-gaze behaviors, under level 2 automated driving and manual driving were analyzed. Meanwhile, to simulate non-driving related tasks that may occur in real driving environment, a visual task, Surrogate Reference Task (SuRT), was applied in the experiment. It was observed that the percentage of gaze that fell within the road center area and speedometer significantly decreased, and the gaze time to the left and right mirrors, and the SuRT display significantly increased during level 2 automated driving. Meanwhile, the eyelid closure time were significant longer and the subjective evaluation scores of attention to front and surroundings were significant lower while applying level 2 automated driving. The results indicated that drivers' attention levels, especially for the front areas, might be significantly reduced during level 2 automated driving, compared to that of manual driving.
引用
收藏
页码:144 / 158
页数:15
相关论文
共 50 条
  • [1] Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving
    Yang, Bo
    Saito, Takumi
    Wang, Zheng
    Kitazaki, Satoshi
    Nakano, Kimihiko
    [J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 40 (03) : 558 - 566
  • [2] Once a driver, always a driver - Manual driving style persists in automated driving takeover
    de Winter, Joost C. F.
    Verschoor, Koen
    Doubek, Fabian
    Happee, Riender
    [J]. APPLIED ERGONOMICS, 2024, 121
  • [3] Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving
    Yang, Shiyan
    Wilson, Kyle M.
    Roady, Trey
    Kuo, Jonny
    Lenne, Michael G.
    [J]. HUMAN FACTORS, 2022, 64 (04) : 746 - 759
  • [4] Driver Vigilance Decrement is More Severe During Automated Driving than Manual Driving
    Greenlee, Eric T.
    DeLucia, Patricia R.
    Newton, David C.
    [J]. HUMAN FACTORS, 2024, 66 (02) : 574 - 588
  • [5] Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera
    Schmidt, Juergen
    Laarousi, Rihab
    Stolzmann, Wolfgang
    Karrer-Gauss, Katja
    [J]. BEHAVIOR RESEARCH METHODS, 2018, 50 (03) : 1088 - 1101
  • [6] Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera
    Jürgen Schmidt
    Rihab Laarousi
    Wolfgang Stolzmann
    Katja Karrer-Gauß
    [J]. Behavior Research Methods, 2018, 50 : 1088 - 1101
  • [7] Challenges for automated vehicle driver training: A thematic analysis from manual and automated driving
    Merriman, Siobhan E.
    Plant, Katherine L.
    Revell, Kirsten M. A.
    Stanton, Neville A.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2021, 76 : 238 - 268
  • [8] Driver Drowsiness in Automated and Manual Driving: Insights from a Test Track Study
    Kundinger, Thomas
    Riener, Andreas
    Sofra, Nikoletta
    Weigl, Klemens
    [J]. PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2020, 2020, : 369 - 379
  • [9] Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation
    Nilsson, Josef
    Falcone, Paolo
    Vinter, Jonny
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) : 1806 - 1816
  • [10] Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles
    Ma, Zheng
    Zhang, Yiqi
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2021, 159