驾驶员视觉注意对危险识别的影响及作用机制

驾驶中, 有效的视觉注意模式是驾驶员搜索与识别潜在道路危险的先决条件。通过分析驾驶员视觉注意对危险识别的影响, 提出情境意识假设与心理负荷假设。情境意识假设认为, 情境意识的质量决定了驾驶员视觉注意模式的灵活性, 进而影响危险识别。心理负荷假设认为, 心理负荷水平提高, 驾驶员视觉注意趋于集中, 不利于危险识别。建议未来研究可以在比较不同驾驶员情境意识的认知兼容性, 应用汽车驾驶自动化技术降低心理负荷以及检测并区分情境意识与心理负荷的影响等方面加以深入。     

自动驾驶车中的人机信任

自动驾驶是当前智能汽车发展的重要方向。在实现完全自动化驾驶前, 驾驶员和自动驾驶系统共享车辆控制权, 协同完成驾驶任务。在该人-机共驾阶段, 人对自动驾驶系统的信任是影响自动驾驶中人机协同效率与驾驶安全的关键要素; 驾驶员对自动驾驶车辆保持适当的信任水平对驾驶安全至关重要。本研究结合信任的发展阶段与影响因素提出了动态信任框架。该框架将信任发展分为倾向性信任、初始信任、实时信任和事后信任四个发展阶段, 并结合操作者特征(人)、系统特征(自动驾驶车系统)、情境特征(环境)三个关键因素分析不同阶段的核心影响因素以及彼此间的内在关联。根据该框架, 信任校准可从监测矫正、驾驶员训练、优化HMI设计三类途径展开。未来研究应更多关注驾驶员和人机系统设计特征对信任的影响, 考察信任的实时测量和功能特异性, 探讨驾驶员和系统的相互信任机制, 以及提升信任研究的外部效度。     

驾驶安全的影响因素及其理论解释

随着汽车的普及,驾驶安全越来越受到重视,而驾驶中人的因素则成为影响驾驶安全的主要因素。唤醒理论认为,这些因素能使驾驶员处于最佳唤醒水平,有利于保持驾驶警觉;而分心假说则认为,这些因素会增加驾驶员的认知负荷,分散其注意,威胁驾驶安全;自我调节理论则强调驾驶员自身的能动作用,通过心理努力的补偿加工,在诸多因素间找到动态的平衡,使驾驶行为维持在满意的水平。     

伪忽视行为表现与神经基础及交通驾驶应用

伪忽视是健康个体存在轻微偏左的不对称空间注意。影响这个现象的因素主要包括刺激材料、年龄、认知负荷和知觉负荷等。其中, 眼动搜索习惯曾经被认为是伪忽视现象的主要因素, 甚至提出伪忽视是眼动偏好现象。但是, 最近文献研究普遍认为, 伪忽视不是眼动行为, 而是注意特质。近10年的大脑神经层面的证据发现, 右脑腹侧注意网络对左侧空间注意偏好有较大的贡献, 而且在神经传导束的证据中也发现右脑大纵束二型对左侧空间注意的激活程度高于其他两种类型的传导束。另外, 注意偏好的时间分辨率研究发现, 注意的左侧空间偏向发生在注意发生后的100~200 ms之内, 眼动搜索时间则是在1500 ms之内出现最大左偏。该现象的应用研究主要体现在交通驾驶员的注意能力和驾驶视觉搜索模式的关系研究。研究意义在于为安全交通提供两条原则, 首先, 道路交通驾驶环境设置要满足驾驶员的注意特质的需求; 其次, 通过合理干预, 可以抑制视觉搜索习惯, 培养安全的驾驶搜索模式。     

事故多发驾驶员与安全驾驶员反应时的比较研究

本文对18名事故多发卡车驾驶员和18名安全卡车驾驶员的视觉、听觉简单反应时、选择反应时以及决策时间进行了比较研究.结果表明事故多发组卡车驾驶员的视觉、听觉简单反应时比安全组卡车驾驶员长,但差异不显著;事故多发组卡车驾驶员的视觉、听觉选择反应时与决策时间都比安全组卡车驾驶员长,且差异显著.本研究结果为我国深入开展驾驶员的选拔、培训与驾驶适应性检测提供理论依据与技术支持.     

自我评估的能力与驾驶经验对危险知觉的影响

结合反应时和眼动研究方法,采用驾驶经验2（新手,有经验）×自我评估的能力2（高,低）×危险类型2（明显,隐藏）的混合实验设计,探索驾驶员驾驶能力的自我评估和驾驶经验对危险知觉及视觉注意的影响。采用驾驶能力量表和基于动态交通视频的危险知觉任务对86名驾驶员测试,并使用Tobbi T120记录眼动数据。结果发现,新手和有经验驾驶员自我评估的能力与危险知觉反应时间之间相关不显著,这说明两组驾驶员对自己驾驶能力的认识和评估不准确。有经验驾驶员对两类危险的反应比新手快。新手自我评估的能力过高,他们对两类危险的反应比同龄驾驶员和有经验驾驶员慢。然而,有经验驾驶员自我评估的能力与危险知觉反应时间之间不存在显著差异。此外,与新手相比,有经验驾驶员对两类危险的首次注视较快,总注视时间更长。与同龄驾驶员相比,新手自我评估的能力过高,他们对危险的首次注视较慢,对危险的总注视时间更少。这些研究结果表明,新手自我评估的能力过高,可能会提高他们的风险接受阈限,由此降低了他们对危险的反应速度。未来驾驶训练应当采取措施减少新手对驾驶能力的自我评估偏见,改善他们的视觉搜索模式以降低事故风险。     

基于认知机制的有条件自动驾驶接管中的人因问题

自动驾驶能在很大程度上缓解现代交通问题并提升驾驶舒适度。有条件自动驾驶下, 驾驶员可执行非驾驶相关任务但需要在系统无法处理的状况下接管车辆。在这一关键过程中, 驾驶员需要进行注意转换并获得情境意识以成功接管。已有研究表明, 接管请求、非驾驶相关任务、驾驶情景及驾驶员因素是影响接管过程重要因素。未来可从认知机制角度研究各因素对接管过程产生的影响, 以及探究接管过程中各因素之间可能存在的交互作用。     

高原低氧对脑功能的影响

本文报告了海拔4,000米左右低氧对脑功能的影响,并观察了高原现场驾驶汽车劳动6小时后脑功能的变化。所用测试指标如下:视觉机能(颜色分辨、深度觉、视觉疲劳和视觉注意稳定性等测验);听觉机能(听阈测验、听觉疲劳、声音强度辨别阈和声源定向等测定);记忆联想和演算能力测定;反应时和手脚协同活动反应;驾驶追踪动作和汽车穿桩实验等多种综合指标。结果表明,一些指标有影响,另一些指标没有影响。总的看来,海拔4,000米左右的高原现场对人的感觉机能和脑功能没有明显的影响。     

不同驾驶条件对于驾驶员情景意识的影响

本文详述了两种驾驶条件对于驾驶员情景意识的影响。手动驾驶是目前最为常用的驾驶方式,驾驶员需要手脚配合来完成驾驶任务,并且要时刻关注于道路情况。高度自动化驾驶系统(HAD)是基可以同时控制机动车的纵向运动和横向运动。根据之前的研究,手动驾驶带有HAD辅助系统的驾驶的情况下,可以将更多的注意资源分配在与驾驶无关的其他任务上。驾驶员驾驶带有HAD辅助系统的车辆与手动驾驶相比,驾驶员识别环境中客体的能力有所提升。但是在驾驶员驾驶过程当中同时执行与驾驶无关的任务,驾驶带有HAD系统与手动驾驶相比,情景意识较差。     

卡车驾驶员视觉选择性注意研究

采用注意力测验量表,对２８０名男性卡车驾驶员的视觉选择性注意进行了测量。研究发现：事故组与安全组卡车驾驶员的完成时间、漏划数和平均每秒正确删数有很显著差异,错划数有显著差异;事故多发组与安全组卡车驾驶员的完成时间和平均每秒删数有很显著差异,错划数有显著差异;年龄对卡车驾驶员的视觉选择性注意有显著影响,随着年龄的增加,卡车驾驶员完成视觉选择性注意作业的时间增长,漏划数和错划数增多,平均每秒正确删数减少,而４０－５０岁则是卡车驾驶员视觉选择性注意速度和准确性下降的转折点。     

The effect of leftward bias on visual attention for driving tasks

The leftward bias of driving visual attention has been found to explain the role of driving experience in the visual attention strategy; even though the results reported in the literature are not always consistent. This study aims to explore the driving attention characteristics and the eye movement patterns by using a simulated driving experiment in conjunction with an eye-tracker device. 31 young inexperienced drivers (undergraduate students, average age 21) and 30 old experienced drivers (taxi drivers, average age 36) took part in the experiment. Results show that the eye movement patterns of the drivers have certain similarity in the occurrence of subtle asymmetries of visual attention favouring left space (the direction of the driving in the experiment was right-side) and that they are related to the right hemisphere specialization for spatial attention. However, in the more experienced drivers the leftward eye movement tends to shift toward the centre or even rightward to pay attention to the hazard events on road. These results suggest that inexperienced drivers are initially aroused by natural biological leftward visual attention and likely to develop central and rightward eye movement strategy for safety diving purpose. The implications of this study suggest that, despite the existence of natural visual attention bias, the left asymmetries in visual scan in inexperienced drivers still can be modified by driving trainings that focus on the hazard situation on road.     

Gaze behavior when approaching an intersection: Dwell time distribution and comparison with a quantitative prediction

The allocation of overt visual attention is investigated in a multi-task and dynamical situation: driving. The Expectancy–Value model of attention allocation stipulates that visual exploration depends on the expectancy and the value of the task-related information available in each Area Of Interest (AOI). We consider the approach to an intersection as a multi-task situation where two subtasks are involved: vehicle control and interactions with other drivers. Each of these subtasks is associated with some specific visual information present in the associated AOIs: the driver’s lane and the intersecting road at the intersection. An experiment was conducted in a driving simulator, coupled with a head-mounted eye-tracker. The intersecting road’s AOI’s Expectancy was manipulated with the traffic density, and its Value was manipulated with the priority rule before the intersection (stop, yield, and priority). The distribution of visual attention and the dynamics of visual exploration were analyzed on 20 participants, taking into account the dwell time in the AOIs associated to the driving subtasks, and the gaze transitions between the AOIs. The results suggest that visual attention to intersecting roads varied with the priority rule, and impacted the visual attention associated with the vehicle control subtask. In addition, a quantitative model was used to improve the understanding of the Expectancy and Value factors. The comparison of the data with the model’s predictions enables quantifying the observed differences between the experimental factors. Finally, the results associated with the traffic density are discussed in relation to the nature of the relevant information while approaching the intersection.     

Does driving experience in video games count? Hazard anticipation and visual exploration of male gamers as function of driving experience

Risk perception and distribution of visual attention while driving are crucial elements for accident prevention and new-driver improvement. This study investigates how racing videogames could shape the visual exploration of virtual and real road in male pre-drivers. The visual performance of players of racing video games with and without driver’s license was tested in virtual vs. real scenarios. Attention to specific elements of different types of road interactions was monitored using an eye-tracking system. Results showed that habitual use of racing video games was not found to foster a positive effect on users’ distribution of visual attention, supporting visual patterns typical of novice drivers. Gamers without driving experience replicated the same patterns in a real road scenario, ignoring road signs and potential areas of interactions with other drivers, while experienced drivers gamers explored video games roads like real roads. The fact that the gamers’ driving performance was not comparable to drivers in the virtual scenario suggests that there are other variables in the gameplay that create a less complex traffic scene, still the visual complexity of different real road interactions is kept in video game interactions, opening new perspectives towards gamers’ visual exploration of the road.     

Visual/cognitive correlates of vehicle accidents in older drivers

Older drivers have more accidents per miles driven than any other age group and tend to have significant impairments in their visual function, which could interfere with driving. Previous research has largely failed to document a link between vision and driving in the elderly. We have taken a comprehensive approach by examining how accident frequency in older drivers relates to the visual/cognitive system at a number of levels: ophthalmological disease, visual function, visual attention, and cognitive function. The best predictor of accident frequency as recorded by the state was a model incorporating measures of early visual attention and mental status, which together accounted for 20% of the variance, a much stronger model than in earlier studies. Those older drivers with a visual attentional disorder or with poor scores on a mental status test had 3-4 times more accidents (of any type) and 15 times more intersection accidents than those without these problems.     

A cross-cultural comparison of where drivers choose to look when viewing driving scenes

A substantial proportion of road accidents occur as a result of drivers having poor or insufficient visual search strategies. However, the majority of research into drivers visual search comes from high income Western countries where roads are relatively safe, with less being known about the visual search of drivers from non-western, low and middle income countries with much higher crash rates. This is despite the fact that cross-cultural studies have shown differences in visual search outside of driving between Western and Eastern individuals. The current study aimed to see whether these differences were present in driving by asking UK and Malaysian drivers to select where they would look when viewing images of roads from the perspective of a driver. Results showed that all drivers selected a similar number of focal objects, however there was a difference in the type of background information drivers chose to attend to, with Malaysian drivers selecting more task irrelevant information at the expense of task relevant information. Results suggest that there are cultural differences in what drivers choose to attend to which may contribute to the increased crash rate amongst drivers from low and middle income countries.     

Identifying and Remedying Failures of Selective Attention in Younger Drivers

ABSTRACT— Newly licensed drivers are disproportionally involved in fatal crashes, and there is evidence that failure to attend to potentially relevant information is a major contributor to this problem. Corroborating this, in controlled scenarios on a driving simulator, we have found that younger drivers attend to (i.e., fixate) target regions in the virtual world that contain information about potential risks much less frequently than do more experienced drivers. We have developed a PC-based training program that substantially improves younger drivers' attention to these regions in the driving simulator and have recently replicated these training results on the road in a real driving situation.     

Useful Field of View and Other Neurocognitive Indicators of Crash Risk in Older Adults

Older adults represent a rapidly growing segment of the driving population. Although most older drivers are safe, research has shown that this group has more crashes per mile driven than most other age groups. The purpose of the present investigation was to examine the utility of a set of commonly used neuropsychological/cognitive tests in comparison to a newer measure of visual attention (Useful Field of View; UFOV®) in predicting state-recorded, at-fault crashes over the previous five years in a group of older adult drivers. Participants (N = 239) completed tests of mental status, visual attention, memory, and UFOV®. Results show that among all cognitive tests administered, UFOV® was most strongly related to crash involvement, with high levels of sensitivity (86.3%) and specificity (84.3%) at the standard cutoff score of 40% reduction. Practical implications for the assessment of crash risk are discussed.     

Attention during visual secondary tasks in driving: Adaptation to the demands of the driving task

Visual attention in driving with visual secondary task is compared for two visual secondary tasks. N = 40 subjects completed a 1 h test drive in a motion-base driving simulator. During the drive, participants either solved an externally paced, highly demanding visual task or a self paced menu system task. The secondary tasks were offered in defined critical and non-critical driving situations. Eye movement behavior was analyzed and compared for both tasks. Before starting the secondary tasks, eye movement behavior shows a smaller standard deviation of gaze as well as longer fixation durations for both tasks. The comparison between the two tasks indicates that drivers use the possibilities the self paced task offers: during the secondary task, they monitor the driving scene with longer fixations and show a greater standard deviation of gaze position. Furthermore, independently of the type of secondary task, drivers adapt their eye movement behavior to the demands of the situation. In critical driving situations they direct a larger proportion of glance time to the driving task. Last, the relation between glance behavior and collisions is analyzed. Results indicate that collisions go together with an inadequate distribution of attention during distraction. The results are interpreted regarding the attentional processes involved in driving with visual secondary tasks. Based on the similarities and differences between the two secondary tasks, a cognitive approach is developed which assumes that the control of attention during distraction is based on a mental situational model of the driving situation.     

Visual attention as a predictor of on-road driving performance of older drivers

With increasing numbers of older drivers on Australian roads, it is important to determine the functional abilities most closely related to driving ability among older adults. To this end, 90 drivers aged from 60 to 91 completed a battery of psychological, visual, physical and cognitive tests, and a standardised on-road driving test. A computerised test of visual attention, devised specifically for the study, was the best predictor of on-road driving performance. Other abilities that made independent contributions to the prediction of driving performance were contrast sensitivity and visuospatial memory. These functional abilities provided a better prediction of driving performance than chronological age, reinforcing the argument that drivers should only have their driving tested when their functional abilities decline, rather than when they reach a particular age.