Institute of Industrial Engineering and Ergonomics (IAW), RWTH Aachen University, Aachen, Germany.
Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Reggio Emilia, Italy.
Appl Ergon. 2021 Apr;92:103342. doi: 10.1016/j.apergo.2020.103342. Epub 2020 Dec 26.
Various researchers have proposed pupillometric indicators to assess a person's cognitive strain. However, to distinguish the variation of pupil light response from psychosensory pupil response in experimental field conditions is a challenge. The Index of Cognitive Activity (ICA) addresses this problem by wavelet separation. This research investigates the ICA's sensitivity for multiple level task-evoked cognitive activity and visual influences concerning informational work tasks. Objective and subjective measures assessed cognitive strain of participants (N = 22) during various tasks. In a first experiment, mental arithmetic tasks were used to induce different levels of cognitive activity. In a second experiment, influences of screen polarity and presentation of information were investigated (N = 18). The results indicate that eye metrics are rarely sensitive to slight variations in task difficulty. Moreover, the ICA is likely to be sensitive towards constant screen illumination and shows tendencies regarding changes in displayed information. Possible ramifications for the objective assessment of cognitive strain are discussed.
不同的研究者提出了瞳孔计指标来评估人的认知负荷。然而，在实验现场条件下，区分瞳孔光响应的变化和心理感觉的瞳孔响应是一个挑战。认知活动指数（ICA）通过小波分离解决了这个问题。本研究调查了 ICA 对多个层次任务诱发的认知活动和视觉影响的敏感性，这些影响与信息工作任务有关。客观和主观的测量方法评估了参与者（N=22）在各种任务中的认知负荷。在第一个实验中，使用心算任务来诱发不同程度的认知活动。在第二个实验中，研究了屏幕极性和信息呈现的影响（N=18）。结果表明，眼动指标很少对任务难度的微小变化敏感。此外，ICA 可能对屏幕照明的恒定变化敏感，并显示出与显示信息变化有关的趋势。对认知负荷的客观评估的可能影响进行了讨论。
