University of Waterloo, Canada.
Hum Factors. 2017 Nov;59(7):1029-1047. doi: 10.1177/0018720817717026. Epub 2017 Jun 28.
Our aim was to explore the relationship between fatigue and operation system performance during a simulated light precision task over an 8-hr period using a battery of physical (central and peripheral) and cognitive measures.
Fatigue may play an important role in the relationship between poor ergonomics and deficits in quality and productivity. However, well-controlled laboratory studies in this area have several limitations, including the lack of work relevance of fatigue exposures and lack of both physical and cognitive measures. There remains a need to understand the relationship between physical and cognitive fatigue and task performance at exposure levels relevant to realistic production or light precision work.
Errors and fatigue measures were tracked over the course of a micropipetting task. Fatigue responses from 10 measures and errors in pipetting technique, precision, and targeting were submitted to principal component analysis to descriptively analyze features and patterns.
Fatigue responses and error rates contributed to three principal components (PCs), accounting for 50.9% of total variance. Fatigue responses grouped within the three PCs reflected central and peripheral upper extremity fatigue, postural sway, and changes in oculomotor behavior.
In an 8-hr light precision task, error rates shared similar patterns to both physical and cognitive fatigue responses, and/or increases in arousal level.
The findings provide insight toward the relationship between fatigue and operation system performance (e.g., errors). This study contributes to a body of literature documenting task errors and fatigue, reflecting physical (both central and peripheral) and cognitive processes.
本研究旨在通过一系列生理(中枢和外周)和认知测量,探索模拟轻精度任务 8 小时期间疲劳与操作系统性能之间的关系。
疲劳可能在不良人机工程学与质量和生产力缺陷之间的关系中发挥重要作用。然而,该领域的精心控制的实验室研究存在一些局限性,包括疲劳暴露缺乏工作相关性,以及缺乏生理和认知测量。仍需要了解与现实生产或轻精度工作相关的暴露水平下的生理和认知疲劳与任务性能之间的关系。
在微量移液任务过程中跟踪错误和疲劳测量值。将 10 项测量和移液技术、精度和靶向错误中的疲劳反应提交给主成分分析,以描述性地分析特征和模式。
疲劳反应和错误率对三个主成分(PC)有贡献,占总方差的 50.9%。三个 PC 内的疲劳反应反映了中枢和外周上肢疲劳、姿势摆动以及眼动行为的变化。
在 8 小时的轻精度任务中,错误率与生理和认知疲劳反应以及(或)唤醒水平的增加具有相似的模式。
研究结果为疲劳与操作系统性能(例如错误)之间的关系提供了深入了解。本研究为记录任务错误和疲劳的文献提供了补充,反映了生理(中枢和外周)和认知过程。