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Drivers' Cue Utilization Predicts Cognitive Resource Consumption During a Simulated Driving Scenario

机译:驱动程序提示利用率在模拟驾驶场景期间预测认知资源消耗

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Objective This study was designed to examine whether cue utilization differentiates drivers’ consumption of cognitive resources during a simulated driving task. Background Outcomes from previous research have demonstrated that a general capacity for cue utilization differentiates cognitive load during novel process control tasks. However, it was previously unclear whether similar results would be demonstrated during familiar operational tasks. Method Based on an assessment of cue utilization within a driving context, participants were classified into higher or lower cue utilization typologies. During a simulated driving task, cognitive load was assessed through changes against baseline in cerebral oxygenation in the prefrontal cortex, through eye behavior metrics (fixation rates and fixation dispersion), and through driving performance (frequency of missed traffic signals and speed exceedances). Results Drivers with higher cue utilization recorded smaller mean fixation dispersions, smaller increases in cerebral oxygenation, and fewer missed traffic signals compared with drivers with lower cue utilization. These results suggest that compared with drivers with lower cue utilization, drivers with higher cue utilization experienced lower cognitive load during the simulated driving task while maintaining a higher level of performance. Conclusion The results provide support for the assertion that, among qualified operators, a greater capacity for cue utilization is associated with lower cognitive load during operational tasks. Application Cue-based assessments of driving may be beneficial in predicting performance and assisting in targeted training for recently qualified and/or older drivers.
机译:目的旨在探讨CUE利用率是否区分了在模拟驾驶任务期间的驾驶员的认知资源消耗。前面研究的背景结果证明了提示利用的一般能力在新颖的过程控制任务中区分了认知载荷。但是,它以前尚不清楚在熟悉的操作任务期间是否会证明类似的结果。基于驾驶环境中的提示利用评估的方法,参与者被分类为更高或更低的提示利用类型。在模拟驾驶任务期间,通过对前额叶皮层中的脑氧合的基线的变化来评估认知载荷,通过眼睛行为度量(固定速率和固定分散),通过驱动性能(错过的交通信号和速度超过速度)。结果提示利用较高的驾驶员记录了较小的平均固定分散体,脑氧合的较小增加,与具有较低提示利用率的驱动器相比,较少的错过的交通信号。这些结果表明,与具有较低提示利用率的驱动器相比,具有更高提示利用率的驱动程序在模拟驾驶任务期间经历了较低的认知负载,同时保持更高水平的性能。结论结果提供了对断言的支持,其中在合格的运营商中,更大的提示利用能力与运营任务期间的认知负荷较低。基于应用的驾驶评估可能有利于预测最近合格和/或旧司机的绩效和协助有针对性的培训。

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