Using Detection Response Task and NASA-TLX to Measure the Difference in Cognitive Workload Between Partially Automated Mode and Manual Mode: An On-Road Study

Noor Jajo, Francesco N. Biondi
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Abstract

The purpose of this study is to investigate how partially automated vehicles affect cognitive load. The study involved an on-road experiment where 29 participants drove a Tesla in both partially automated and manual mode for up to 45 minutes. The researchers objectively measured the participants' cognitive workload using the Detection Response Task (DRT) and subjectively assessed it using NASA Task Load Index (NASA-TLX). The findings revealed that there was no significant difference in cognitive workload between the partially automated mode and manual mode in both objective and subjective measures. Our study expands the literature on the effects of partially automated vehicles on cognitive workload by using DRT and NASA-TLX. Further studies should adopt similar methodology with the addition of physiological and ocular measures.
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使用检测响应任务和NASA-TLX测量部分自动模式和手动模式的认知工作量差异:一项道路研究
本研究的目的是调查部分自动驾驶汽车如何影响认知负荷。这项研究涉及一项道路实验,29名参与者在部分自动和手动模式下驾驶特斯拉汽车长达45分钟。研究人员使用检测反应任务(DRT)客观测量参与者的认知负荷,并使用NASA任务负荷指数(NASA- tlx)主观评估参与者的认知负荷。结果表明,在客观和主观测量中,部分自动化模式与手动模式在认知工作量上均无显著差异。本研究通过DRT和NASA-TLX扩展了部分自动驾驶汽车对认知负荷影响的文献。进一步的研究应采用类似的方法,并增加生理和眼测量。
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