Department of Neuroscience, Psychology and Behaviour, College of Medicine, Biological Sciences and Psychology, University of Leicester, University Road, Leicester, LE1 7RH, UK.
School of Engineering, College of Science and Engineering, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Sci Rep. 2021 Dec 2;11(1):23312. doi: 10.1038/s41598-021-02412-x.
To avoid collisions, pedestrians depend on their ability to perceive and interpret the visual motion of other road users. Eye movements influence motion perception, yet pedestrians' gaze behavior has been little investigated. In the present study, we ask whether observers sample visual information differently when making two types of judgements based on the same virtual road-crossing scenario and to which extent spontaneous gaze behavior affects those judgements. Participants performed in succession a speed and a time-to-arrival two-interval discrimination task on the same simple traffic scenario-a car approaching at a constant speed (varying from 10 to 90 km/h) on a single-lane road. On average, observers were able to discriminate vehicle speeds of around 18 km/h and times-to-arrival of 0.7 s. In both tasks, observers placed their gaze closely towards the center of the vehicle's front plane while pursuing the vehicle. Other areas of the visual scene were sampled infrequently. No differences were found in the average gaze behavior between the two tasks and a pattern classifier (Support Vector Machine), trained on trial-level gaze patterns, failed to reliably classify the task from the spontaneous eye movements it elicited. Saccadic gaze behavior could predict time-to-arrival discrimination performance, demonstrating the relevance of gaze behavior for perceptual sensitivity in road-crossing.
为了避免碰撞,行人依赖于他们感知和解释其他道路使用者的视觉运动的能力。眼动会影响运动感知,但行人的注视行为却很少被研究。在本研究中,我们询问观察者在基于相同的虚拟道路穿越场景进行两种类型的判断时,是否会以不同的方式抽样视觉信息,以及自发的注视行为在多大程度上影响这些判断。参与者在相同的简单交通场景中连续完成了速度和到达时间的两间隔辨别任务——一辆汽车以恒定速度(从 10 公里/小时到 90 公里/小时)在单车道上行驶。平均而言,观察者能够辨别出大约 18 公里/小时的车辆速度和 0.7 秒的到达时间。在这两个任务中,观察者在追踪车辆时,将目光集中在车辆前部的中心附近。视觉场景的其他区域被很少抽样。两个任务之间的平均注视行为没有差异,并且基于试次水平的注视模式训练的模式分类器(支持向量机)无法可靠地从它引发的自发眼动中分类任务。扫视性注视行为可以预测到达时间的辨别性能,证明了注视行为对道路穿越中的感知敏感性的重要性。