Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama.
School of Public Health and Social Justice, Saint Louis University, St. Louis, Missouri.
Traffic Inj Prev. 2024;25(7):919-924. doi: 10.1080/15389588.2024.2352171. Epub 2024 Aug 1.
Child pedestrian injuries represent a significant public health challenge. Understanding the most complex cognitive skills required to cross streets helps us understand, improve, and protect children in traffic, as underdeveloped cognitive skill likely impacts children's pedestrian safety. One complex component of street-crossing is the cognitive-perceptual task of judging time-to-arrival of oncoming traffic. We examined capacity of 7- and 8-year-olds to judge time-to-arrival for vehicles approaching from varying distances and speeds, as well as improvement in those judgments following intensive street-crossing training in a virtual reality (VR) pedestrian simulator.
500 seven- and eight-year-olds participated in a randomized trial evaluating use of a large kiosk VR versus smartphone-based VR headset to teach street-crossing skills. Prior to randomization into VR training condition and also prior to initiation of any training, children engaged in a video-based vehicle approach estimation task to assess ability to judge traffic time-to-arrival. They then engaged in multiple VR-based pedestrian safety training sessions in their randomly assigned condition until achieving adult functioning. Soon after training and again 6 months later, children repeated the vehicle estimation task.
Prior to randomization or training, children were more accurate judging time to arrival for closer versus farther traffic, and rapidly-moving versus slower-moving traffic, but those results were subsumed by a speed x distance interaction. The interaction suggested distance cues were used more prominently than speed cues, and speed had varying effects at different distances. Training group had minimal effect on learning and all children became significantly better at judging vehicle arrival times following training.
Children tend to underestimate vehicle arrival times. Distance cues are more impactful on time-to-arrival judgments than speed cues, but children's estimations based both on manipulations of vehicle speed and manipulations of vehicle distance improved post-training. Improvements were retained six months later. This finding is consistent with psychophysics research suggesting vehicle approach judgments rely on optical size and looming, which are impacted both by vehicle speeds and distances. Implementation of VR-based training for child pedestrian safety is recommended, as it may improve children's judgment of vehicle time-to-arrival, but it must be conducted cautiously to avoid iatrogenic effects.
儿童行人伤害是一个重大的公共卫生挑战。了解横过街道所需的最复杂认知技能有助于我们理解、改善和保护交通中的儿童,因为认知技能发育不良可能会影响儿童的行人安全。横过街道的一个复杂组成部分是判断迎面而来的交通到达时间的认知知觉任务。我们研究了 7 岁和 8 岁儿童判断来自不同距离和速度的车辆到达时间的能力,以及在虚拟现实(VR)行人模拟器中进行强化过街训练后对这些判断的改善。
500 名 7 岁和 8 岁儿童参加了一项随机试验,评估使用大型亭式 VR 与智能手机式 VR 耳机教授过街技能的效果。在随机分配到 VR 训练条件之前,以及在开始任何训练之前,儿童参与了基于视频的车辆接近估计任务,以评估判断交通到达时间的能力。然后,他们在随机分配的条件下进行多次基于 VR 的行人安全培训课程,直到达到成人水平。在培训后不久和 6 个月后,儿童再次重复车辆估计任务。
在随机分组或训练之前,儿童更准确地判断近距离与远距离、快速移动与慢速移动的交通到达时间,但这些结果被速度×距离的相互作用所涵盖。该相互作用表明,距离线索比速度线索更突出,而速度在不同距离上的影响也不同。训练组对学习的影响很小,所有儿童在训练后都显著提高了判断车辆到达时间的能力。
儿童往往低估车辆到达时间。距离线索对到达时间判断的影响大于速度线索,但基于车辆速度和车辆距离操纵的儿童估计在训练后都有所提高。6 个月后仍有改善。这一发现与心理物理学研究一致,表明车辆接近判断依赖于光学大小和逼近,这既受车辆速度又受车辆距离的影响。建议实施基于 VR 的儿童行人安全教育,因为它可以提高儿童对车辆到达时间的判断能力,但必须谨慎实施,以避免医源性影响。