三维多目标跟踪训练可以提高模拟驾驶性能吗?一项针对年轻人和老年人的初步研究。

Jesse Michaels, Romain Chaumillon, Sergio Mejia-Romero, Delphine Bernardin, Jocelyn Faubert
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摘要

驾驶能力已被证明依赖于感知认知能力,如视觉注意力和处理速度。有各种各样的证据表明,训练这些能力可能会提高驾驶表现的各个方面。这项初步研究调查了训练三维多目标跟踪(3D-MOT)的可行性,以改善老年人和年轻人的模拟驾驶表现。3D-MOT是一种动态的、快速的跟踪任务,需要选择性的、持续的、分散的注意力以及处理速度。20名年轻人(23-33岁)和14名老年人(65-76岁)被随机分配到3D-MOT训练组或积极对照组,接受知觉辨别任务和2048的训练。参与者在驾驶场景中进行了技能测试,这些技能测试事件之前被认为是驾驶能力横向比较的最佳选择。结果重复了先前确定的不同年龄组之间驾驶行为的差异。在3D-MOT训练组中,特别是年轻人,观察到一个可能的趋势,即他们在危险事件中施加最大制动量的距离增加。这一措施与事件中较少的极端制动有关,这意味着这些司机可能更有节制地停车。尽管样本量和任务真实性存在局限性,但本实验提供了初步证据,表明3D-MOT训练可能通过更快地检测或对危险事件做出反应来转移到驾驶性能,并为更大样本量的复制提供了理由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Can Three-Dimensional Multiple Object Tracking Training Be Used to Improve Simulated Driving Performance? A Pilot Study in Young and Older Adults.

Driving ability has been shown to be dependent on perceptual-cognitive abilities such as visual attention and speed of processing. There is mixed evidence suggesting that training these abilities may improve aspects of driving performance. This preliminary study investigated the feasibility of training three-dimensional multiple object tracking (3D-MOT)-a dynamic, speeded tracking task soliciting selective, sustained and divided attention as well as speed of processing-to improve measures of simulated driving performance in older and younger adults. A sample of 20 young adults (23-33 years old) and 14 older adults (65-76 years old) were randomly assigned to either a 3D-MOT training group or an active control group trained on a perceptual discrimination task as well as 2048. Participants were tested on a driving scenario with skill-testing events previously identified as optimal for cross-sectional comparisons of driving ability. Results replicated previously identified differences in driving behaviour between age groups. A possible trend was observed for the 3D-MOT trained group, especially younger adults, to increase the distance at which they applied their maximum amount of braking in response to dangerous events. This measure was associated with less extreme braking during events, implying that these drivers may have been making more controlled stops. Limitations of sample size and task realism notwithstanding, the present experiment offers preliminary evidence that 3D-MOT training might transfer to driving performance through quicker detection of or reaction to dangerous events and provides a rationale for replication with a larger sample size.

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