Human Systems Lab, University of Windsor, Windsor, ON, Canada.
Human Systems Lab, University of Windsor, Windsor, ON, Canada.
Appl Ergon. 2023 Jan;106:103867. doi: 10.1016/j.apergo.2022.103867. Epub 2022 Aug 12.
This study sets out to extend the use of blink rate and pupil size to the assessment of cognitive load of completing common automotive manufacturing tasks. Nonoptimal cognitive load is detrimental to safety. Existing occupational ergonomics approaches come short of measuring dynamic changes in cognitive load during complex assembling tasks. Cognitive demand was manipulated by having participants complete two versions of the n-back task (easy, hard). Two durations of the physical task were also considered (short, long). Pupil size and blink rate increased under greater cognitive task demand. High cognitive load also resulted in longer task completion times, and higher ratings of mental and temporal demand, and effort. This exploratory study offers relevant insights on the use of ocular metrics for cognitive load assessment in occupational ergonomics. While the existing eye-tracking technology may yet limit their adoption in the field, they offer advantages over the more popular expert-based and self-reported techniques in measuring changes in cognitive load during dynamic tasks.
本研究旨在将眨眼频率和瞳孔大小的应用扩展到评估完成常见汽车制造任务时的认知负荷。非最佳认知负荷不利于安全。现有的职业人体工程学方法无法衡量复杂装配任务中认知负荷的动态变化。通过让参与者完成两种 n 回任务(简单、困难)来操纵认知需求。还考虑了两种物理任务持续时间(短、长)。在更大的认知任务需求下,瞳孔大小和眨眼频率增加。高认知负荷还导致更长的任务完成时间,以及更高的心理和时间需求以及努力程度的评分。这项探索性研究为在职业人体工程学中使用眼部指标评估认知负荷提供了相关见解。虽然现有的眼动跟踪技术可能会限制它们在该领域的应用,但它们在测量动态任务中认知负荷变化方面优于更流行的基于专家和自我报告的技术。