Influence of Driving Experience on Distraction Engagement in Automated Vehicles

被引:20
作者
He, Dengbo [1 ]
Donmez, Birsen [1 ]
机构
[1] Univ Toronto, Dept Mech & Ind Engn, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
DRIVERS; SAFETY;
D O I
10.1177/0361198119843476
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
State-of-the-art vehicle automation requires drivers to visually monitor the driving environment and the automation (through interfaces and vehicle's actions) and intervene when necessary. However, as evidenced by recent automated vehicle crashes and laboratory studies, drivers are not always able to step in when the automation fails. Research points to the increase in distraction or secondary-task engagement in the presence of automation as a potential reason. However, previous research on secondary-task engagement in automated vehicles mainly focused on experienced drivers. This issue may be amplified for novice drivers with less driving skill. In this paper, we compared secondary-task engagement behaviors of novice and experienced drivers both in manual (non-automated) and automated driving settings in a driving simulator. A self-paced visual-manual secondary task presented on an in-vehicle display was utilized. Phase 1 of the study included 32 drivers (16 novice) who drove the simulator manually. In Phase 2, another set of 32 drivers (16 novice) drove with SAE-level-2 automation. In manual driving, there were no differences between novice and experienced drivers' rate of manual interactions with the secondary task (i.e., taps on the display). However, with automation, novice drivers had a higher manual interaction rate with the task than experienced drivers. Further, experienced drivers had shorter average glance durations toward the task than novice drivers in general, but the difference was larger with automation compared with manual driving. It appears that with automation, experienced drivers are more conservative in their secondary-task engagement behaviors compared with novice drivers.
引用
收藏
页码:142 / 151
页数:10
相关论文
共 50 条
  • [1] Personalizing automated driving speed to enhance user experience and performance in intermediate-level automated driving
    Delmas, Maxime
    Camps, Valerie
    Lemercier, Celine
    ACCIDENT ANALYSIS AND PREVENTION, 2024, 199
  • [2] Assessing the Safety of Environment Perception in Automated Driving Vehicles
    Berk, Mario
    Schubert, Olaf
    Kroll, Hans-Martin
    Buschardt, Boris
    Straub, Daniel
    SAE INTERNATIONAL JOURNAL OF TRANSPORTATION SAFETY, 2020, 8 (01) : 49 - 74
  • [3] Active Safety Vehicles Evolving Toward Automated Driving
    Uhlemann, Elisabeth
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2015, 10 (04): : 20 - 23
  • [4] Understanding trust and acceptance of automated vehicles: An exploratory simulator study of transfer of control between automated and manual driving
    Molnar, Lisa J.
    Ryan, Lindsay H.
    Pradhan, Anuj K.
    Eby, David W.
    St Louis, Renee M.
    Zakrajsek, Jennifer S.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2018, 58 : 319 - 328
  • [5] Secondary task engagement and disengagement in the context of highly automated driving
    Wandtner, Bernhard
    Schoemig, Nadja
    Schmidt, Gerald
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2018, 58 : 253 - 263
  • [6] AUTONOMOUS VEHICLES AND AUTOMATED DRIVING: STATUS, PERSPECTIVES AND SOCIETAL IMPACT
    Schoitsch, Erwin
    IDIMT-2016- INFORMATION TECHNOLOGY, SOCIETY AND ECONOMY STRATEGIC CROSS-INFLUENCES, 2016, 45 : 405 - 423
  • [7] 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,
  • [8] Validation of driving behaviour as a step towards the investigation of Connected and Automated Vehicles by means of driving simulators
    Pariota, Luigi
    Bifulco, Gennaro Nicola
    Markkula, Gustav
    Romano, Richard
    2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2017, : 274 - 279
  • [9] Pedestrian assessment: Is displaying automated driving mode in self-driving vehicles as relevant as emitting an engine sound in electric vehicles?
    Faas, Stefanie M.
    Baumann, Martin
    APPLIED ERGONOMICS, 2021, 94 (94)
  • [10] A Less-Disturbed Ecological Driving Strategy for Connected and Automated Vehicles
    Yang, Jinsong
    Zhao, Dezong
    Jiang, Jingjing
    Lan, Jianglin
    Mason, Byron
    Tian, Daxin
    Li, Liang
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (01): : 413 - 424