Volume 40 Issue 1
Feb.  2022
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WANG Yanfeng, CHEN Haolin, ZHAO Xiaohua, LI Haijian, LI Zhenlong, FU Qiang. A Study on the Impact of Immersion Levels of Non-driving-related Tasks on Takeover Behavior[J]. Journal of Transport Information and Safety, 2022, 40(1): 135-143. doi: 10.3963/j.jssn.1674-4861.2022.01.016
Citation: WANG Yanfeng, CHEN Haolin, ZHAO Xiaohua, LI Haijian, LI Zhenlong, FU Qiang. A Study on the Impact of Immersion Levels of Non-driving-related Tasks on Takeover Behavior[J]. Journal of Transport Information and Safety, 2022, 40(1): 135-143. doi: 10.3963/j.jssn.1674-4861.2022.01.016

A Study on the Impact of Immersion Levels of Non-driving-related Tasks on Takeover Behavior

doi: 10.3963/j.jssn.1674-4861.2022.01.016
  • Received Date: 2021-01-14
    Available Online: 2022-03-31
  • This study aims to study the effects of high, medium, and low levels of immersion of non-driving-related (NDR)tasks on the takeover behavior under automated driving. Test scenarios are developed using a driving simulator. There are four takeover scenarios developed based on the task of non-driving-related activity(entertainment and work task)and time to collision(5 s and 10 s). To collect data on takeover behavior, volunteer drivers are recruited for a driving simulation. In order to measure takeover behavior, four metrics are used: speed, lateral deviation, responding time, and takeover correct time(TCT). The results show that: ①the vehicle speed decreases as the immersion level of NDR tasks decreases, and the deceleration rate increases after taking over the vehicle. When the time to collision is 5 s, the level of immersion of NDR tasks significantly affects lateral deviation. ②When the time to collision is 10s, the level of immersion of NDR tasks has a weaker significance on the takeover response time (p =0.056 < 0.1), and it decreases as the immersion level increases(low immersion level=3.94 s; medium immersion level=3.45 s; high immersion level=3.21 s). A significant difference between the level of immersion of NDR task and the time of takeover has been found(time to collision 5s: p =0.031 < 0.05;time to collision 10 s: p =0.019 < 0.05). That is, the time for takeover decreases as the level of immersionofNDR tasks increases. ③ With the same NDR task, the takeover responding time decreases as the immersion level increases. According to the results of statistical analysis, the interaction between NDR tasks and their immersion level does not affect the response time for takeover significantly, however, it does affect the TCT.

     

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  • [1]
    NOY I Y, SHINAR D, HORREY W J. Automated driving: Safety blind spots[J]. Safety Science, 2018, 102(2): 68-78.
    [2]
    MCDONALD A D, ALAMBEIGI H, ENGSTROM J, et al. Toward computational simulations of behavior during automated driving takeovers: A review of the empirical and modeling literatures[J]. Human Factors, 2019, 61(4): 642-688. doi: 10.1177/0018720819829572
    [3]
    张艺竞, 常若松, 马锦飞, 等. L3等级自动驾驶条件下驾驶员接管过程及心理模型的构建[J]. 心理科学, 2019, 42(2): 415-421. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201902023.htm

    ZHANG Y J, CHANG R S, MA J F, et al. Take-over process and the construction of drivers'psychological model under conditionally automated driving[J]. Journal of Psychological Science, 2019, 42(2): 415-421. (in chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201902023.htm
    [4]
    CLARK H, FENG J. Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation[J]. Accident Analysis & Prevention, 2017(106): 468-479.
    [5]
    PURUCKER C, BERGHFER F, NAUJOKS F, et al. Prediction of take-over time demand in highly automated driving results of a naturalistic driving study[C]. Human Factors and Ergonomics Society Europe Chapter Annual Meeting, Berlin, Germany: Human Factors and Ergonomics Society Europe Chapter, 2018.
    [6]
    KREUZMAIR C, GOLD C, MEYER M. The influence of driver fatigue on take-over performance in highly automated vehicles[C]. 25th International Technical Conference on the Enhanced Safety of Vehicles(ESV), Detroit Michigan, United States: National Highway Traffic Safety Administration, 2017.
    [7]
    林庆峰, 王兆杰, 鲁光泉. 城市道路环境下自动驾驶车辆接管绩效分析[J]. 中国公路学报, 2019, 32(6): 240-247. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906025.htm

    LIN Q F, WANG Z J, LU G Q. Analysis of take-over performance for automated vehicles in urban road environments[J]. China Journal of Highway and Transport, 2019, 32(6): 240-247. (in chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906025.htm
    [8]
    FORSTER Y, NAUJOKS F, NEUKUM A, et al. Driver compliance to take-over requests with different auditory outputs in conditional automation[J]. Accident Analysis & Prevention, 2017(109): 18-28.
    [9]
    鲁光泉, 赵鹏云, 王兆杰, 等. 自动驾驶中视觉次任务对年轻驾驶人接管时间的影响[J]. 中国公路学报, 2018, 31(4): 165-171. doi: 10.3969/j.issn.1001-7372.2018.04.020

    LU G Q, ZHAO P Y, WANG Z J, et al. Impact of visual secondary task on young drivers'take-over time in automated driving[J]. China Journal of Highway and Transport, 2018, 31 (4): 165-171.(in chinese) doi: 10.3969/j.issn.1001-7372.2018.04.020
    [10]
    LIN R, LIU N, MA L, et al. Exploring the self-regulation of secondary task engagement in the context of partially automated driving: A pilot study[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019(64): 147-160.
    [11]
    JAROSCH O, KUHNT M, BENGLER K, et al. It's out of our hands now! effects of non-driving related tasks during highly automated driving on drivers' fatigue[C]. International Driving Symposium on Human Factors in Driver Assessment, Manchester Village, Vermont. Iowa City: Public Policy Center, University of Iowa, 2017.
    [12]
    BUENO M, DOGAN E, HADJ SELEM F, et al. How different mental workload levels affect the take-over control after automated driving[C]. 2016 IEEE 19th International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil: IEEE, 2016.
    [13]
    ERIKSSON A, STANTON N A. Takeover time in highly automated vehicles: noncritical transitions to and Ffrom manual control[J]. Human Factors: The Journal of the Human Factors and Ergonomics Society, 2017, 59(4): 689-705. doi: 10.1177/0018720816685832
    [14]
    DOGAN E, HONNET V, MASFRAND S, et al. Effects of non-driving-related tasks on takeover performance in different takeover situations in conditionally automated driving[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019(62): 494-504.
    [15]
    ZEEB K, BUCHNER A, SCHRAUF M. What determines the take-over time? An integrated model approach of driver take-over after automated driving[J]. AccidentAnalysis & Prevention, 2015, 78(5): 212-22. http://www.researchgate.net/profile/Michael_Schrauf/publication/273833386_What_determines_the_take-over_time_An_integrated_model_approach_of_driver_take-over_after_automated_driving/links/5593b12408ae5af2b0eb99db.pdf
    [16]
    KIM H J, YANG J H. Takeover requests in simulated partially autonomous vehicles considering human factors[J]. IEEE Transactions on Human-Machine Systems, 2017, 47(5): 735-740. doi: 10.1109/THMS.2017.2674998
    [17]
    BURNETT G, LARGE D R, SALANITRI D. How will drivers interact with vehicles of the future[R]. London, England: University of Nottingham, 2019.
    [18]
    周荣贵, 钟连德. 公路通行能力手册[M]. 北京: 人民交通出版社股份有限公司, 2017.

    ZHOU R G, ZHONG L D. Highway capacity manual[M]. Beijing: China Communications Publishing & Media Management Co., Ltd, 2017. (in chinese)
    [19]
    王积伟. 控制理论与控制工程[M]. 北京: 机械工业出版社, 2011.

    WANG J W. Control theory and control engineering[M]. Beijing: China Machine Press, 2011. (in chinese)
    [20]
    任福田, 刘小明, 孙立山, 等. 交通工程学[M]. 北京: 人民交通出版社股份有限公司, 2017.

    REN F T, LIU X M, SUN L S, et al. Traffic engineering[M]. Beijing: China Communications Publishing & Media Management Co., Ltd, 2017.
    [21]
    PRITSCHET L, POWELL D, HORNE Z. Marginally significant effects as evidence for hypotheses: Changing attitudes over four decades[J]. Psychological Science, 2016, 27(7): 1036-1042. doi: 10.1177/0956797616645672
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