Too sick to take over? - Impact of car sickness on cognitive performance related to driving in the context of automated driving

被引:0
|
作者
Metzulat, Myriam [1 ]
Metz, Barbara [1 ]
Landau, Andreas [1 ]
Neukum, Alexandra [1 ]
Kunde, Wilfried [2 ]
机构
[1] WIVW GmbH, Robert Bosch Str 4, D-97209 Veitshochheim, Germany
[2] Univ Wurzburg, Dept Psychol 3, Rontgenring 11, D-97070 Wurzburg, Germany
关键词
Car sickness; Automated driving; Cognitive performance; Reaction time; Visual search; Mental rotation; Hand-eye coordination; MOTION SICKNESS; QUESTIONNAIRE; SIMULATOR;
D O I
10.1016/j.trf.2024.12.027
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Car sickness in automated driving is not only a comfort issue but might also negatively affect performance. It could be a safety risk if a car-sick driver has to take over, for example in an emergency situation, and their ability to safely control the vehicle is impaired. Previous studies have shown negative effects of other types of motion sickness, such as sea sickness or simulator sickness, on various cognitive performance measures. This is the first study to investigate the effects of actual car sickness in a real vehicle on several performance requirements relevant to driving. Data from two independent studies with N = 20 and N = 47 participants are reported. In both studies, performance tasks were completed before and after car sickness was induced in a real vehicle ride. These tasks represented different aspects of driving, i.e. a visual search task for visual selection, a simple reaction task for reactions to sudden events, a mental rotation task for visuo-spatial ability and a tracking task for hand-eye coordination. Reaction times were significantly prolonged and hand-eye coordination significantly impaired as symptoms of car sickness increased. Visuo-spatial performance also decreased with increasing car sickness, but not significantly (p = 0.059). Visual search was not negatively affected by car sickness. Subjectively, car sickness reduced the ability to concentrate and increased the subjective effort to complete tasks. The results indicate that actual driving performance may be affected by car sickness. The transferability of the results should be verified in a real driving study.
引用
收藏
页码:480 / 500
页数:21
相关论文
共 50 条
  • [21] Automated Driving: A Literature Review of the Take over Request in Conditional Automation
    Morales-Alvarez, Walter
    Sipele, Oscar
    Leberon, Regis
    Tadjine, Hadj Hamma
    Olaverri-Monreal, Cristina
    ELECTRONICS, 2020, 9 (12) : 1 - 34
  • [22] Readiness Estimation for a Take-Over Request in Automated Driving on an Expressway
    Suzuki, Ryohei
    Madokoro, Hirokazu
    Nix, Stephanie
    Saruta, Kazuki
    Saito, Takashi K.
    Sato, Kazuhito
    2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, : 1521 - 1526
  • [23] Understanding Take-Over in Automated Driving: A Human Error Analysis
    Li, Jue
    Liu, Long
    Gu, Liwen
    HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS, MOBITAS 2021, 2021, 12791 : 281 - 295
  • [24] COGNITIVE SKILLS ARE RELATED TO DRIVING PERFORMANCE IN THE ELDERLY
    ODENHEIMER, G
    ALBERT, M
    JETTE, A
    BEAUDET, M
    GRANDE, L
    MINAKER, K
    JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 1991, 39 (08) : A9 - A9
  • [25] Effect of Driving Experience on Take-Over Performance of L3 Automatic Driving
    Wang L.
    Zhang H.
    Hu H.
    Qiche Gongcheng/Automotive Engineering, 2022, 44 (10): : 1521 - 1526
  • [26] Real Time Recognition of Non-driving Related Tasks in the Context of Highly Automated Driving
    Pech, Timo
    Enhuber, Stephan
    Wandtner, Bernhard
    Schmidt, Gerald
    Wanielik, Gerd
    ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2018: SMART SYSTEMS FOR CLEAN, SAFE AND SHARED ROAD VEHICLES, 2019, : 43 - 55
  • [27] RETRACTED: A Take-Over Performance Evaluation Model for Automated Vehicles from Automated to Manual Driving (Retracted Article)
    Yan, Lixin
    Chen, Jiayu
    Wen, Chengyue
    Wan, Ping
    Peng, Liqun
    Yu, Xujin
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [28] Understanding take-over performance of high crash risk drivers during conditionally automated driving
    Lin, Qingfeng
    Li, Shiqi
    Ma, Xiaowei
    Lu, Guangquan
    ACCIDENT ANALYSIS AND PREVENTION, 2020, 143
  • [29] Influence of non-driving related tasks on driving performance after takeover transition in conditionally automated driving
    Zhang, N.
    Fard, M.
    Xu, J.
    Davy, J. L.
    Robinson, S. R.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 96 : 248 - 264
  • [30] The influence of age on the take-over of vehicle control in highly automated driving
    Koerber, Moritz
    Gold, Christian
    Lechner, David
    Bengler, Klaus
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2016, 39 : 19 - 32