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学者姓名：郑新夷
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目的 本研究探讨自动驾驶信任、非驾驶任务及其交互作用对接管反应时、疲劳度和认知负荷的影响.方法 48名大学生参与实验,采用2×3的混合实验设计,通过E-Prime软件进行测试.研究使用自动驾驶信任态度量表、KSS量表和NASA-TLX量表.结果 非驾驶任务类型显著影响接管反应时、认知负荷和疲劳度,而自动驾驶信任水平显著提高了认知负荷.结论 本研究揭示了非驾驶任务对接管行为的干扰及过度信任的危害,为优化自动驾驶系统接管性能提供了参考.
Keyword ：
e-prime e-prime 自动驾驶信任 自动驾驶信任 自动驾驶接管 自动驾驶接管 认知负荷 认知负荷 非驾驶任务 非驾驶任务 驾驶疲劳 驾驶疲劳
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| GB/T 7714 | 施灿宇 , 苏应竑 , 郑新夷 . 自动驾驶信任与非驾驶任务对接管反应的影响 [J]. | 人类工效学 , 2025 , 31 (1) : 44-49 . |
| MLA | 施灿宇 等. "自动驾驶信任与非驾驶任务对接管反应的影响" . | 人类工效学 31 . 1 (2025) : 44-49 . |
| APA | 施灿宇 , 苏应竑 , 郑新夷 . 自动驾驶信任与非驾驶任务对接管反应的影响 . | 人类工效学 , 2025 , 31 (1) , 44-49 . |
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The driving environment in the freeway exit areas is complex, and the installation of relevant signs can enhance the creation of a safe and smooth exit area environment. This study investigated the situation awareness (SA) scores of two types of drivers using different signs in the freeway exit areas and the correlation between drivers' eye movement, driving behavior, and SA scores. The driving tasks were divided into two situations: continuing on the mainline and entering the exit ramp. The independent variables included scene type (static speed limit signs, static speed limit signs plus variable message signs, variable speed limit signs, variable speed limit signs plus variable message signs), and participant type (experienced and inexperienced participants). The dependent variables were SA, eye movement, and driving behavior. Each participant completed a driving simulation experiment with the two driving tasks, totaling eight scenes. The SA scores were measured using the Situation Awareness Global Assessment Technique (SAGAT). The driving behavior and eye movement were collected during the experimental data analysis segment, and the sensitivity indicators for evaluating drivers' SA were determined by calculating the correlation with the SAGAT scores. This paper focuses on applying variable message signs (VMS) to speed limits in freeway exit areas from the driver's perspective to enhance driving safety. The findings showed that drivers have better SA in scenes with VMS, and experienced drivers have better SA than inexperienced drivers in the same scene. The VMS affects speed control, and eye movement is a sensitive SA indicator.
Keyword ：
Driving behavior Driving behavior Eye movement Eye movement SAGAT SAGAT Situation awareness Situation awareness Variable message signs Variable message signs
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| GB/T 7714 | Yang, Yanqun , Chen, Yue , Easa, Said M. et al. Impact of variable message signs on drivers' situation awareness in freeway exit areas [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 : 395-416 . |
| MLA | Yang, Yanqun et al. "Impact of variable message signs on drivers' situation awareness in freeway exit areas" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 105 (2024) : 395-416 . |
| APA | Yang, Yanqun , Chen, Yue , Easa, Said M. , Chen, Ming , Zheng, Xinyi . Impact of variable message signs on drivers' situation awareness in freeway exit areas . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 , 395-416 . |
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为减少弯道段交通事故,对山区公路视线诱导设施综合效用进行研究.在弯道段单独或组合设置护栏、轮廓标、线形诱导标3类视线诱导设施,并基于驾驶模拟器、眼动仪和脑电仪获取眼动、脑电及驾驶行为数据,分析不同设置方案下驾驶人的行为特性.基于超效率BCC-DEA模型,构建山区公路弯道视线诱导设施有效性评价体系,对不同设置方案的综合效果进行评价.结果表明:视线诱导设施组合设置对驾驶行为的影响比单独设置效果更好,其中采用“线形诱导标+轮廓标”设置效果最优;视线诱导设施设置数量超过2个时会降低警示与诱导效果;指标敏感性分析表明,速度和横向位移指标分别是单独与组合设置时影响安全过弯的关键因素.
Keyword ：
山区公路弯道 山区公路弯道 数据包络分析 数据包络分析 视线诱导设施 视线诱导设施 超效率分析 超效率分析 驾驶模拟 驾驶模拟
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| GB/T 7714 | 杨艳群 , 黄永 , 姚羽珊 et al. 基于DEA模型的山区公路视线诱导设施综合效用评价 [J]. | 交通工程 , 2024 , 24 (03) : 1-9 . |
| MLA | 杨艳群 et al. "基于DEA模型的山区公路视线诱导设施综合效用评价" . | 交通工程 24 . 03 (2024) : 1-9 . |
| APA | 杨艳群 , 黄永 , 姚羽珊 , 郑新夷 . 基于DEA模型的山区公路视线诱导设施综合效用评价 . | 交通工程 , 2024 , 24 (03) , 1-9 . |
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Based on combining the relevant studies on situation awareness (SA), this paper integrated multiple indicators, including eye movement, electroencephalogram (EEG), and driving behavior, to evaluate SA. SA is typically divided into three stages: perception, understanding and prediction. This paper used eye movement indicators to represent perception, EEG indicators to represent understanding, and driving behavior indicators to represent prediction. After identifying indicators for evaluating SA, a driving simulation experiment was designed to collect data on the indicators. 41 subjects were recruited to participate in the investigation, and the experimenter collected data from each subject in a total of 9 groups. After removing 4 groups of invalid data, 365 groups of valid data were finally obtained. The grey correlation analysis was used to optimize the SA indicators, and 10 SA evaluation indicators were finally determined. There were the average fixation duration, the nearest neighbor index, pupil area, the percentage power spectral density values of the 3 rhythmic waves (0 , alpha , beta), rhythmic wave energy combination parameters ( alpha / 0), mean speed, SD of speed and acceleration. Taking the optimized 10 indicators as input and the SA scores as output, a backpropagation neural network model with a topological structure of 10-8-1 was constructed. 75% of the data were randomly selected for model training, and the final network training 's mean square error was 0.0025. Using the remaining 25% of data for verification, the average absolute error and average relative error of the predicted results are 0.248 and 0.046, respectively. This showed that the model was effective, and it was feasible to evaluate the SA by using the data of eye movement, EEG and driving behavior parameters.
Keyword ：
Backpropagation neural network Backpropagation neural network Electroencephalogram Electroencephalogram Eye movement Eye movement Situation awareness Situation awareness
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| GB/T 7714 | Yang, Yanqun , Chen, Yue , Easa, Said M. et al. Evaluation of driver's situation awareness in freeway exit using backpropagation neural network [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 : 42-57 . |
| MLA | Yang, Yanqun et al. "Evaluation of driver's situation awareness in freeway exit using backpropagation neural network" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 105 (2024) : 42-57 . |
| APA | Yang, Yanqun , Chen, Yue , Easa, Said M. , Lin, Jie , Chen, Meifeng , Zheng, Xinyi . Evaluation of driver's situation awareness in freeway exit using backpropagation neural network . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 , 42-57 . |
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This paper evaluates the influence of different variables on drivers' willingness to accept and use a vehicle-mounted perfume automatic dispersal device (VP-ADD) connected to the vehicle's electronic map. Based on the technical acceptance model, we clarify and condense the explanation of the model used to evaluate the impact of user behavior attitudes and device characteristics on six factors, perceived usefulness, perceived ease of use, attitude towards use, intention to use, perceived playfulness, and perceived risk, proposing eight hypotheses. Then, we assessed the responses of 562 drivers in China using SPSS for reliability and validity and AMOS for structural equation modeling to test our hypotheses. The findings reveal that the perceived usefulness, ease of use, playfulness, and risk significantly affected the willingness to accept and use the VP-ADD. Furthermore, the perceived risk has a negative influence, while the perceived usefulness, perceived ease of use, perceived playfulness, and attitude towards use have a positive influence. This research is significant for further development and application of the VP-ADD. It is essential to alleviate driver fatigue, ensure traffic safety, and provide theoretical and empirical support for designing more popular driving assistance devices. Furthermore, it offers valuable insights for developing fatigue driving warning policies, in-vehicle device guidelines, and traffic safety regulations.
Keyword ：
car drivers car drivers perfume perfume structural equation model structural equation model technology acceptance model technology acceptance model
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Wang, Linwei et al. Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
| MLA | Yang, Yanqun et al. "Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers" . | APPLIED SCIENCES-BASEL 14 . 11 (2024) . |
| APA | Yang, Yanqun , Wu, Xinli , Wang, Linwei , Easa, Said M. , Zheng, Xinyi . Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers . | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
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Expressway exit areas experience traffic diversion and complex road conditions, making them accident-prone areas. In this study, transverse and fishbone visual illusion deceleration markings were selected to optimize the induction facilities at expressway exits. The research aims to investigate the impact of these markings on the driving behavior, cognitive load, and physiological characteristics of drivers in various distracted scenarios at expressway exit areas. Furthermore, a comprehensive evaluation of each experimental scheme is conducted using the Matter-Element Extension Model. The study found that the implementation of deceleration markings can effectively enhance driver alertness and lane change awareness, enabling drivers to reduce their speed to near the speed limit in exit areas without compromising driving comfort. Compared to the situation without markings, drivers begin to decelerate approximately 600 m earlier and exit the ramp when markings are present. Fishbone deceleration markings, in contrast to transverse markings, result in lower vehicle speeds, smoother deceleration, and more effectively stimulate drivers' intention to change lanes, guiding them to make the final lane change earlier. Based on the comprehensive evaluation results, it is recommended that transverse or fishbone deceleration markings be considered in engineering practice. These markings have not produced significant effects on driver visual fatigue and driving load, with fishbone markings demonstrating superior comprehensive evaluation outcomes. These research findings can provide valuable insights for future expressway exit area marking design schemes, further enhancing driver safety.
Keyword ：
Deceleration marking Deceleration marking Distracted driver Distracted driver Driving simulation Driving simulation Electroencephalogram data Electroencephalogram data Expressway exit Expressway exit Eye movement Eye movement
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| GB/T 7714 | Yang, Yanqun , Li, Mingtao , Easa, Said M. et al. Effect of expressway exit deceleration markings on distracted drivers in China [J]. | HELIYON , 2024 , 10 (17) . |
| MLA | Yang, Yanqun et al. "Effect of expressway exit deceleration markings on distracted drivers in China" . | HELIYON 10 . 17 (2024) . |
| APA | Yang, Yanqun , Li, Mingtao , Easa, Said M. , Lin, Jie , Zheng, Xinyi . Effect of expressway exit deceleration markings on distracted drivers in China . | HELIYON , 2024 , 10 (17) . |
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采用问卷和实验方法，并利用模糊数学方法探讨接管前置时间、驾驶信任、情绪唤醒以及性别因素对接管绩效的综合影响。结果发现：3s前置时间的接管绩效最佳，5s次之，8s最差；低驾驶信任度的驾驶员接管绩效优于高信任度的；男性驾驶员的接管绩效优于女性，唤起中性情绪时驾驶员的接管绩效优于积极情绪时，并且交互作用显示，男性唤起积极情绪后接管绩效最差。主要结论是，驾驶员的情绪稳定有利于驾驶员在紧急情况下接管车辆。
Keyword ：
接管绩效 接管绩效 模糊数学 模糊数学 自动驾驶 自动驾驶 驾驶接管 驾驶接管
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| GB/T 7714 | 郑新夷 , 朱圆圆 , 杨艳群 et al. 基于模糊数学方法评价自动驾驶接管绩效 [J]. | 心理技术与应用 , 2024 , 12 (07) : 412-424 . |
| MLA | 郑新夷 et al. "基于模糊数学方法评价自动驾驶接管绩效" . | 心理技术与应用 12 . 07 (2024) : 412-424 . |
| APA | 郑新夷 , 朱圆圆 , 杨艳群 , 翁高悦 . 基于模糊数学方法评价自动驾驶接管绩效 . | 心理技术与应用 , 2024 , 12 (07) , 412-424 . |
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【目的】驾驶人在行驶中受交通应激事件的影响，为探索应激反应的程度展开研究。【方法】采用维也纳交通心理测试系统（VTS）甄选出高驾驶特性组（H组）和低驾驶特性组（L组）各21名被试进行试验，通过统计学方法分析不同驾驶特性群体的应激反应特征，并采用集对分析模型评价被试的应激反应优劣。【结果】研究结果表明：通过检测驾驶人的驾驶特性能力区分其应激反应能力可行，提高驾驶特性能够帮助驾驶人提高应激能力，情况越危急，提高的幅度越大。【结论】试验中，在所有应激距离下，H组的应激反应均优于L组，且应激距离的减少对L组的影响比H组大；在交通应激事件中为驾驶人提供1 s以上交通冲突时间是必要的。
Keyword ：
交通运输 交通运输 应激反应 应激反应 集对分析 集对分析 驾驶模拟 驾驶模拟 驾驶特性 驾驶特性
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| GB/T 7714 | 梁钰 , 杨艳群 , 祝站东 et al. 驾驶特性对驾驶人应激反应的影响研究 [J]. | 华东交通大学学报 , 2024 , 41 (01) : 87-95 . |
| MLA | 梁钰 et al. "驾驶特性对驾驶人应激反应的影响研究" . | 华东交通大学学报 41 . 01 (2024) : 87-95 . |
| APA | 梁钰 , 杨艳群 , 祝站东 , 陈铭 , 林君君 , 郑新夷 . 驾驶特性对驾驶人应激反应的影响研究 . | 华东交通大学学报 , 2024 , 41 (01) , 87-95 . |
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选取40名被试，采用2-back任务诱导认知分心，利用驾驶模拟系统构建行人-机动车、非机动车-机动车和机动车-机动车等3种应激场景，开展了不同应激场景正常驾驶及认知分心驾驶2种工况驾驶人的应激反应实验研究；根据采集的被试的眼动、脑电和驾驶行为等数据，分析了认知分心驾驶工况驾驶人的应激反应行为特性；对实验结果进行集对分析(SPA),完成了不同应激场景下驾驶人应激反应行为的安全性评估。结果表明：驾驶人应激反应行为的安全性因受认知分心的影响而降低，其中在行人应激场景下的影响最为显著。
Keyword ：
交通工程 交通工程 应激反应 应激反应 认知分心 认知分心 集对分析 集对分析 驾驶模拟 驾驶模拟
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| GB/T 7714 | 杨艳群 , 黄永健 , 罗秀玲 et al. 认知分心情境下驾驶人应激反应行为研究 [J]. | 重庆交通大学学报(自然科学版) , 2024 , 43 (03) : 54-63,115 . |
| MLA | 杨艳群 et al. "认知分心情境下驾驶人应激反应行为研究" . | 重庆交通大学学报(自然科学版) 43 . 03 (2024) : 54-63,115 . |
| APA | 杨艳群 , 黄永健 , 罗秀玲 , Said M.EASA , 郑新夷 . 认知分心情境下驾驶人应激反应行为研究 . | 重庆交通大学学报(自然科学版) , 2024 , 43 (03) , 54-63,115 . |
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Objective: This paper aimed to develop a hazard prediction test and enhance two-wheeled electric vehicle (TWEV) riders' hazard perception and prediction capabilities via interventions by executing two distinct studies. Study 1 aimed to develop and validate a hazard prediction test. Study 2 evaluated the efficacy of two interventions, self-commentary and what happens next (WHN), integrating expert commentary. Method: For Study 1, a video-based hazard prediction test was developed through video recording and clipping, with participants categorized into high and low prediction ability groups for experimentation. Data analysis employed the receiver operating characteristic (ROC) curve. Study 2 categorized participants into four groups: self-commentary with licenses (SCL), self-commentary without licenses (SCNL), WHN with licenses (WHNL), and WHN without licenses (WHNNL), for conducting a one-week intervention experiment. Data collected from participants' pre-intervention, post-intervention, and aftereffect tests were subjected to repeated measures analysis of variance (ANOVA). Results: Analysis of the ROC curve indicated the test can distinguish the riders with different hazard prediction levels. ANOVA results demonstrated that the measurement time had a significant positive effect on scores (p < 0.001). Both interventions significantly improved hazard prediction ability (p < 0.05), and the effect persisted one week after administration. The effect of the WHN intervention was significantly greater than the self-commentary method across all time points. Conclusion: The hazard prediction test developed in this study could assess riders' hazard prediction ability, with the identified interventions demonstrating effectiveness in enhancing this ability. These findings suggested potential application in future qualification tests for TWEV riders, contributing to enhanced traffic safety awareness among TWEV riders in China, thus advancing overall traffic safety.
Keyword ：
hazard prediction test hazard prediction test intervention intervention riders riders self-commentary self-commentary Two-wheeled electric vehicle Two-wheeled electric vehicle What happens next What happens next
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Feng, Yang et al. Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China [J]. | TRAFFIC INJURY PREVENTION , 2024 , 26 (3) : 325-334 . |
| MLA | Yang, Yanqun et al. "Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China" . | TRAFFIC INJURY PREVENTION 26 . 3 (2024) : 325-334 . |
| APA | Yang, Yanqun , Wu, Xinli , Feng, Yang , Easa, Said M. , Zheng, Xinyi . Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China . | TRAFFIC INJURY PREVENTION , 2024 , 26 (3) , 325-334 . |
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