疲劳对高铁司机持续性注意影响机制的ERP试验研究

为探究驾驶作业疲劳对高铁司机持续性注意的损伤机制,基于动车模拟器平台,进行主任务为动车驾驶,次任务为随机信号检测的连续4 h动车模拟驾驶试验。全程采集20名高铁司机的驾驶行为数据和脑电信号数据。根据试验数据,对高、低持续性注意水平下司机的行为绩效、事件相关脑电位(ERP)成分进行差异性对比分析。结果表明,与第1阶段相比,第2阶段司机的行为绩效显著下降(对随机信号的反应时增加,有效检测率下降)。此外,ERP的P2成分波幅显著减小,N2b成分波幅显著增大、潜伏期显著延长,P3成分波幅显著减小、潜伏期显著延长。该结果表明,长时间连续作业将造成高铁司机的持续性注意水平下降,引起该水平降低的主要因素是疲劳造成高铁司机对突发事件的分类、评估,资源的调制、分配和认知控制等高级认知能力的损伤。     

驾驶分心对隧道段行车安全影响分析

为研究驾驶分心对隧道段行车安全的影响,在虚拟驾驶环境下设计次任务试验,要求被试驾驶人执行多组不同类型、难度的手动与无手动次任务,同时利用眼动追踪装置采集驾驶人视觉特征参数。在筛选有效数据的基础上,运用统计学与数据挖掘方法比较驾驶人在隧道内执行不同次任务时,车辆运行速度离散性、视觉搜索区域面积、瞳孔面积变化率和次任务持续时间的差异,并分析统计显著性。结果表明,驾驶人在执行手动次任务、无手动次任务、无次任务3种状态下,执行手动次任务时车辆运行速度离散性最大、视觉搜索区域面积最小、瞳孔面积变化率最大,次任务持续时间最长;无次任务时车辆运行速度离散性最小、视觉搜索区域面积最大、瞳孔面积变化率最小;无手动次任务的试验结果居于两者之间,次任务持续时间最短。上述差异具有统计学显著性,主观感知评价与客观数据具有一致性。研究表明,手动与无手动次任务使驾驶人心理负荷明显增大,手动次任务对驾驶人的影响最为明显,因此驾驶分心次任务对隧道段行车安全影响较大。     

记忆负荷对警戒工效影响的ERP研究

使用事件相关电位的研究方法,以警戒绩效和信号事件引起的大脑诱发电位为指标,要求12名被试在2组记忆负荷条件下进行警戒作业,通过分析绩效指标和脑电指标的变化来探讨记忆负荷对警戒工效的影响及作用机制。结果表明,随记忆负荷增加,操作人员的识别效率明显下降,对信号的反应准备期出现延迟,警戒的强度和持续性均开始衰退,最终造成警戒工效的下降和人因失误的发生。作业中的记忆负荷不可能完全消除,但可以通过优化操作系统和界面的设计来降低操作过程中的记忆负荷,同时注意控制整体的工作负荷,对特殊岗位还可以监控操作人员的警戒状态,适时调节觉醒水平。     

模拟SPO情境中的飞行员脑力负荷测量与分析*

为探究单一飞行员驾驶模式（SPO）下飞行员的脑力负荷水平,设计并实施模拟单人驾驶情境中的非正常任务场景处置实验。首先,基于准5级模拟驾驶舱,设计飞行任务场景;其次,招募20名航线飞行员被试,开展模拟飞行实验,记录被试的生理数据心率变异性指标及眼动数据;最后,结合客观生理数据以及主观量表进行脑力负荷分析,记录单发失效故障处置时间并进行任务绩效分析。研究结果表明:与双人制机组相比,单人驾驶情境中飞行员的脑力负荷增幅并不显著,处于可接受范围;单人制驾驶舱的任务设计及智能辅助系统使用对于降低飞行员工作负荷,提升飞行绩效至关重要。研究结果可为单一飞行员驾驶模式实施提供理论支持,并为未来单人制驾驶舱及机载自动化系统设计提供指标参考。     

视觉与听觉次任务对驾驶人视觉的影响及差异

为研究视觉与听觉次任务对驾驶人视觉的影响及差异性,在虚拟驾驶环境下设计次任务试验,要求被试驾驶人执行多组不同类型、难度的视觉与听觉次任务,同时利用眼动追踪装置采集驾驶人视觉特征参数。在筛选有效数据的基础上,运用统计学与数据挖掘方法比较驾驶人执行不同次任务时,视觉搜索区域面积、瞳孔面积、次任务完成时间的差异并分析统计显著性。结果表明,驾驶人在执行视觉次任务、听觉次任务、无次任务3种状态下,执行视觉次任务时视觉搜索区域面积最小、瞳孔面积变化幅度最大、次任务完成时间最长;无次任务时视觉搜索区域面积最大、瞳孔面积变化幅度最小、执行次任务时间最短;执行听觉次任务时,视觉特征数据居于视觉次任务、无次任务两种状态之间。上述差异具有统计学显著性,主观感知评价与客观数据具有一致性。研究表明,视觉与听觉次任务使驾驶人心理负荷明显增大,且视觉次任务对驾驶人的影响更为明显。     

基于驾驶模拟的自动驾驶接管行为研究*

为探索有条件自动驾驶对非驾驶相关任务的允准边界,基于实车驾驶模拟器,设计自动驾驶接管试验典型场景,招募30名被试者开展驾驶模拟试验;要求驾驶人执行3种分心形式的驾驶次任务,系统发出接管请求提示后,驾驶人接管车辆控制权以避免险情发生,并分析驾驶人接管反应时间、驾驶负荷以及驾驶绩效等相关数据。结果表明:驾驶次任务涉及的分心形式越复杂,接管过程安全性越差,视觉分心任务与操作分心任务对接管行为影响显著;驾驶人更倾向于选择制动操作接管车辆,次任务分心程度越高,制动接管比例越大;与乘客聊天对接管行为影响不显著,看视频和玩手机游戏均会显著延长接管反应时间,增加工作负荷与车辆纵向减速度,玩手机游戏还会显著提升车辆横向加速度。     

面向驾驶员辅助系统的换道意图辨识方法研究

为提高先进驾驶员辅助系统工作效能,通过差异性分析选取了人-车-路特征参数,建立了支持向量机换道意图辨识模型.基于驾驶模拟器采集的数据,运用ROC曲线对比分析了不同参数组合、时窗、数据表达形式下模型的分类效果,结果表明以方向盘转角、加速度、车辆距车道线距离和驾驶人头动信息为特征参数,时窗为1.5s,以时窗内信息均值和方差表述特征参量可获得最优辨识效果.研究表明,模型在保证1 s前瞻性的同时辨识率可达93％.     

城市道路下分心行为对驾驶员驾驶绩效的影响

为探究城市道路条件下常见驾驶分心行为对驾驶绩效的影响,以16名青年志愿者为被试,开展实车驾驶试验,测量车辆纵向和横向行驶参数,对比分析正常驾驶和分心驾驶状态下的驾驶绩效,并探讨驾驶经验的影响。结果表明：3种分心行为均使横向加速度标准差和纵向加速度标准差增加,而使速度均值降低,说明驾驶员通过速度和转向控制补偿分心状态下的驾驶绩效;交谈对速度均值和纵向加速度均值、阅读广告对速度标准差和横向加速度均值具有显著性影响(p<0.05);接听电话时,经验驾驶员速度标准差明显高于新手(p=0.021);接听电话和阅读广告次任务下,经验驾驶员的横向加速度均值均明显较高(p=0.003,p=0.004),说明经验丰富的驾驶员受分心行为的影响程度更低。     

驾驶中使用手机对驾驶员行为安全绩效影响综述

驾驶中使用手机与交通事故之间存在着高度相关性。为揭示使用手机对驾驶行为安全绩效的影响,探索影响驾驶安全的理论机制,采取更有效的干预措施,结合近10 a来相关研究,综述了与驾驶安全密切相关的驾驶分心问题,主要包括:驾驶员分心的定义及其分类;使用手机对驾驶行为安全绩效的影响,如反应时(RT)、行车速度、路线保持和跟车距离;手机使用对驾驶员分心影响的理论机制,如信息加工理论和计划行为理论(TPB)。分析表明,使用手机会导致驾驶员的反应时延长15%～40%,驾驶路线发生明显偏移,对于行车速度减缓和跟车距离延长的假设需结合驾驶员主客观数据进行比较做进一步验证;驾驶过程中使用手机会增加驾驶员的认知负荷,TPB能够对使用手机行为进行有效的解释和预测,但对该理论中基于信念测量的研究还很少;除手机操作任务,影响驾驶员分心的其他操作任务还需做进一步的研究。     

海底隧道入口段驾驶员眼动特征分析*

为研究海底隧道入口段驾驶员眼动特征,以海底隧道收费站至入口为研究对象,运用Facelab5.0眼动仪和录像机等设备,采集真实状态下驾驶员眼动特征、行车速度和行车位置数据,并依据道路线形、车辆行车特征和路段标志标线设置,将收费站至入口划分为提速驶离段、换道减速段、缓和段和过渡段（入口段）,分析各区段驾驶员眼动特征及车速变化规律,并建立相应数学模型。研究结果表明:驾驶员驾车通过换道减速段和过渡段时,分别受交织车流与黑洞效应影响,行车速度减小、眼睑闭合度下降、眨眼频率增大;驾驶员行经入口段,车速呈上升-下降-上升-下降的趋势,眼睑闭合度呈增大-减小-增大-减小的趋势,眨眼频率呈减小-增大-减小-增大的趋势,且受交织车流与黑洞效应的影响显著。     

Changes in driving behavior and cognitive performance with different breath alcohol concentration levels

OBJECTIVE: This study examines the changes in driving behavior and cognitive performance of drivers with different breath alcohol concentration (BrAC) levels. METHODS: Eight licensed drivers, aged between 20 and 30 years, with BrAC levels of 0.00, 0.25, 0.4 and 0.5 mg/l performed simulated driving tests under high- and low-load conditions. Subjects were asked to assess their subjective psychological load at specified intervals and perform various tasks. The outcome was measured in terms of reaction times for task completion, accuracy rates, and driver's driving behavior. RESULTS: The effects of BrAC vary depending on the task. Performance of tasks involving attention shift, information processing, and short-term memory showed significant deterioration with increasing BrAC, while dangerous external vehicle driving behavior occurred only when the BrAC reached 0.4 mg/l and the deterioration was marked. CONCLUSION: We can conclude that the cognitive faculty is the first to be impaired by drinking resulting in deteriorated performance in tasks related to divided attention, short-term memory, logical reasoning, followed by visual perception. On the other hand, increasing alcohol dose may not pose an immediate impact on the external vehicle driving behavior but may negatively affect the driver's motor behavior even at low BrAC levels. Experience and will power could compensate for the negative influence of alcohol enabling the drivers to remain in full steering control. This lag between alcohol consumption and impaired driving performance may mislead the drivers in thinking that they are still capable of safe steering and cause them to ignore the potential dangers of drunk driving.     

Assessing drivers' response during automated driver support system failures with non-driving tasks

IntroductionWith the increase in automated driver support systems, drivers are shifting from operating their vehicles to supervising their automation. As a result, it is important to understand how drivers interact with these automated systems and evaluate their effect on driver responses to safety critical events. This study aimed to identify how drivers responded when experiencing a safety critical event in automated vehicles while also engaged in non-driving tasks.MethodIn total 48 participants were included in this driving simulator study with two levels of automated driving: (a) driving with no automation and (b) driving with adaptive cruise control (ACC) and lane keeping (LK) systems engaged; and also two levels of a non-driving task (a) watching a movie or (b) no non-driving task. In addition to driving performance measures, non-driving task performance and the mean glance duration for the non-driving task were compared between the two levels of automated driving.ResultsDrivers using the automated systems responded worse than those manually driving in terms of reaction time, lane departure duration, and maximum steering wheel angle to an induced lane departure event. These results also found that non-driving tasks further impaired driver responses to a safety critical event in the automated system condition.ConclusionIn the automated driving condition, driver responses to the safety critical events were slower, especially when engaged in a non-driving task.Practical applicationTraditional driver performance variables may not necessarily effectively and accurately evaluate driver responses to events when supervising autonomous vehicle systems. Thus, it is important to develop and use appropriate variables to quantify drivers' performance under these conditions.     

Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator

A study was conducted to investigate the effects of time-gap settings and contents of secondary tasks on a fix-based bus driving simulator on drivers’ performance while reclaiming control from ACC in a car-following scenario of emergency brake by the lead vehicle. Thirty professional bus drivers drove on the simulator with the scenario of highway traffic flow under 12 random time-gap settings: from 0.64 s to 2.40 s with the interval of 0.16 s. As for the effects of secondary tasks, subjects were evenly divided into three conditions: no secondary task interference, simple secondary task, and complex task. The results demonstrated that different safety demarcations of time-gaps on subjective acceptance and driving performance can be found out. The integrated demarcations separated time-gaps into divisions that represented different levels of danger. It revealed that the safer time-gaps for different situations were: longer than 1.60 s for none-secondary task distraction and longer than 2.08 s for being continuously distracted by secondary tasks. The demand for simple tasks is relatively high, so a larger time-gap is needed for the driver to remain safe. This research has implications for the time-gap selection of ACC and effects of secondary task distraction on buses. A next logical step will focus on determining time-gaps for lead vehicles on curves or slopes, when multiple vehicles are present ahead, and modeling driver behavior and performance with ACC for cars, buses, and other types of vehicles.     

Effects of multitasking on operator performance using computational and auditory tasks

This study investigated the effects of multiple cognitive tasks on human performance. Twenty-four students at North Carolina A&;T State University participated in the study. The primary task was auditory signal change perception and the secondary task was a computational task. Results showed that participants' performance in a single task was statistically significantly different from their performance in combined tasks: (a) algebra problems (algebra problem primary and auditory perception secondary); (b) auditory perception tasks (auditory perception primary and algebra problems secondary); and (c) mean false-alarm score in auditory perception (auditory detection primary and algebra problems secondary). Using signal detection theory (SDT), participants' performance measured in terms of sensitivity was calculated as ?0.54 for combined tasks (algebra problems the primary task) and ?0.53 auditory perceptions the primary task. During auditory perception tasks alone, SDT was found to be 2.51. Performance was 83% in a single task compared to 17% when combined tasks.     

Sensitivity evaluation of the visual,tactile, and auditory detection response task method while driving

Objectives: In this article, we evaluate the sensitivity to cognitive load of 3 versions of the Detection Response Task method (DRT), proposed in ISO Draft Standard DIS-17488.

Methods: We present a user study with 30 participants in which we compared the sensitivity to cognitive load of visual, audio, and tactile DRT in a simulated driving environment. The amount of cognitive load was manipulated with secondary n-back tasks at 2 levels of difficulty (0-back and 1-back). We also explored whether the DRT method is least sensitive to cognitive load when the stimuli and secondary task are of the same modality. For this purpose, we used 3 forms to present the n-back task stimuli: visual, audio, and tactile. Responses to the task were always vocal. The experiment was based on a between-subject design (the DRT modalities) with 2 levels of within-subject design study (modalities and difficulty of the secondary n-back tasks). The participants' primary task in the study was to drive safely, and a second priority was to answer to DRT stimuli and perform secondary tasks.

Results: The results indicate that all 3 versions of the DRT tested were sensitive to detecting the difference in cognitive load between the reference driving period and driving and engaging in the secondary tasks. Only the visual DRT discriminated between the 0-back and 1-back conditions on mean response time. Contrary to expectations, no interaction was observed between DRT modality and the stimuli modality used for presentation of the secondary tasks.

Conclusions: None of the 3 methods of presenting DRT stimuli showed a consistent advantage in sensitivity in differentiating multiple levels of cognitive load if all response times, hit rates, and secondary task performance are considered. If only response time is considered, the visual presentation of the DRT stimulus used in this study showed some advantages. In interpreting these data, it should be noted that the methods of DRT stimulus presentation varied somewhat from the currently proposed draft ISO standard and it is possible that the relative salience level of the visual DRT stimulus influenced the findings. It is further suggested that more than 2 levels of difficulty of the n-back task should be considered for further investigation of the relative sensitivity of different DRT stimuli modalities. Parameters that indicate change in cognitive load (response time, hit rate, task performance) should be analyzed together in assessing the overall impact on the driver and not individually, in order to obtain a fuller insight of the assessed cognitive load.     

Effects of an integrated collision warning system on teenage driver behavior

IntroductionCrash warning systems have been shown to provide safety benefits, but no studies have examined how teenagers respond. This study sought to find out whether young, inexperienced drivers change behavior in response to warnings.MethodsForty 16–17 year-olds drove an instrumented vehicle equipped with a system that warned for lane departures and potential rear-end and lane change/merge crashes. Participants were randomly assigned to experimental or control groups, and their driving was monitored for 14 weeks during 2011–12. For the experimental group, this included a treatment period, when crash alerts were received by drivers, and baseline and post-treatment periods, when warnings were recorded but not received. The control group never received warnings. Data were analyzed to determine whether warnings were associated with changes in driving behavior.ResultsA total of 15,039 trips were analyzed. Lane drifts accounted for 73% of warnings. Forward collision warning rates doubled for all drivers during the treatment period and continued at an increased rate post-treatment. This was likely a result of the fact that, as time went on, all drivers spent more time following vehicles at close distances. Receiving alerts was associated with effects on following and lane-changing behavior, including more time spent following at close distances (17%), fewer lateral drifts (37%) and fewer unsignaled lane changes (80%). Receiving warnings wasn't associated with an increased likelihood of engaging in secondary tasks.ConclusionsWarning systems may result in improved lane-keeping and turn-signal behaviors by novice drivers, but there is some indication they may result in more close-following behaviors.Practical applicationsThere is some evidence that lane departure warning may improve turn-signal use for young drivers. While there is no evidence of safety benefits from the other types of warnings, there is some evidence of an increase in close-following behavior but no increase in secondary tasks due to the presence of those capabilities.     

In-vehicle workload assessment: effects of traffic situations and cellular telephone use

PROBLEM: Assessment of drivers' on-road workload is an important traffic safety consideration. This study was conducted to examine the effects of cellular phone communication on driving performance, with particular emphasis on variations in task demand in different traffic situations. METHOD: Twelve participants were asked to drive on urban roads and motorways with or without concomitant mathematical-addition tests relayed via cellular phone. Measurements included task and driving performance, physiological responses, and compensatory behavior. RESULTS: Analysis of task performance revealed that mean response time was markedly increased (11.9%) for driving on urban roads compared to motorways. The mean driving speed only decreased 5.8% in the presence of phone tasks in comparison to normal driving without distractions. In addition, overall physiological workload increased through compensatory behavior in response to the phone tasks. CONCLUSIONS: Driving with phone use in different traffic environments induced measurable variations in driver workload. IMPACT ON INDUSTRY: When faced with heavy traffic, a greater safety margin is typically adopted, with more lowered driving speed and restricted phone use, and it can be assumed that there is a general trade-off between tasks to preserve driving safety.     

Task type as a moderator of positive/negative feedback effects on motivation and performance: A regulatory focus perspective

Applying Higgins' regulatory focus theory, we hypothesized that the effect of positive/negative feedback on motivation and performance is moderated by task type, which is argued to be an antecedent to situational regulatory focus (promotion or prevention). Thus, first we demonstrated that some tasks (e.g., tasks requiring creativity) are perceived as promotion tasks, whereas others (e.g., those requiring vigilance and attention to detail) are perceived as prevention tasks. Second, as expected, our tests in two studies of the moderation hypothesis showed that positive feedback increased self‐reported motivation (meta‐analysis across samples: N = 315, d = 0.43) and actual performance (N = 55, d = 0.67) among people working on promotion tasks, relative to negative feedback. Positive feedback, however, decreased motivation (N = 318, d = ?0.33) and performance (N = 55, d = ?0.37) among individuals working on prevention tasks, relative to negative feedback. These findings suggest that (a) performance of different tasks can affect regulatory focus and (b) variability in positive/negative feedback effects can be partially explained by regulatory focus and task type. Copyright © 2010 John Wiley & Sons, Ltd.     

Exploring relationships between observed activation rates and functional attributes of lane departure prevention

Objective: Drivers’ use of lane departure warning and prevention systems is lower than use of other crash avoidance technologies and varies significantly by manufacturer. One factor that may affect use is how well a system prevents unintended departures. The current study evaluated the performance of systems that assist in preventing departures by providing steering or braking input in a 2016 Chevrolet Malibu, 2016 Ford Fusion, 2016 Honda Accord, and 2018 Volvo S90. These vehicles were selected because a prior observational study found that the percentage of privately owned vehicles that had lane departure prevention systems turned on varied among these 4 automakers.

Method: In each vehicle, a test driver induced 40 lane drifts on left and right curves by steering the vehicle straight into the curve so that vehicles departed in the opposite direction and 40 lane drifts on straightaways by slight steering input to direct the vehicle to left and right lane markers.

Results: Vehicles from automakers with higher observed lane departure prevention use rates (Volvo, Chevrolet) featured systems that provided steering input earlier and more often avoided crossing lane markers by more than 35?cm compared to vehicles from automakers with lower observed use rates (Ford, Honda).

Conclusion: The study identified functional characteristics (i.e., timing of steering input, prevention of departures more than 35?cm) of lane departure prevention systems that were strongly associated with observed activation of these systems in privately owned vehicles. Although this relationship does not imply causation, the findings support the hypothesis that functional characteristics of lane departure prevention systems affect their use. Designers may be able to use these results to maximize driver acceptance of future implementations of lane departure prevention.     

Effects of mobile phone use on driving performance in a multiresource workload scenario

Objective: This study explores the influence of mobile phone secondary tasks on driving from the perspective of visual, auditory, cognitive, and psychomotor (VACP) multiple resource theory, and it is anticipated to benefit the human-centered design of mobile phone use while driving.

Methods: The present study investigated 6 typical phone use scenarios while driving and analyzed the effects of phone use distractions on driving performance. Thirty-six participants were recruited to participate in this experiment. We abandoned traditional secondary tasks such as conversations or dialing, in which cognitive resources can become interference. Instead, we adopted an arrow secondary task and an n-back delayed digit recall task.

Results: The results show that all mobile phone use scenarios have a significant influence on driving performance, especially on lateral vehicle control. The visual plus psychomotor resource occupation scenario demonstrated the greatest deterioration of driving performance, and there was a significant deterioration of driving speed and steering wheel angle once the psychomotor resource was occupied.

Conclusions: Phone use distraction leads to visual, cognitive, and/or motor resource functional limitations and thus causes lane violations and traffic accidents.