Department of Psychology, SWPS University of Social Sciences & Humanities, Warsaw, Poland.
School of Computing, Clemson University, Clemson, SC, United States of America.
PLoS One. 2018 Sep 14;13(9):e0203629. doi: 10.1371/journal.pone.0203629. eCollection 2018.
Pupil diameter and microsaccades are captured by an eye tracker and compared for their suitability as indicators of cognitive load (as beset by task difficulty). Specifically, two metrics are tested in response to task difficulty: (1) the change in pupil diameter with respect to inter- or intra-trial baseline, and (2) the rate and magnitude of microsaccades. Participants performed easy and difficult mental arithmetic tasks while fixating a central target. Inter-trial change in pupil diameter and microsaccade magnitude appear to adequately discriminate task difficulty, and hence cognitive load, if the implied causality can be assumed. This paper's contribution corroborates previous work concerning microsaccade magnitude and extends this work by directly comparing microsaccade metrics to pupillometric measures. To our knowledge this is the first study to compare the reliability and sensitivity of task-evoked pupillary and microsaccadic measures of cognitive load.
瞳孔直径和微扫视由眼动追踪器捕获,并比较它们作为认知负荷指标(如受任务难度影响)的适用性。具体来说,有两个指标用于响应任务难度进行测试:(1)瞳孔直径相对于试验内或试验间基线的变化,以及(2)微扫视的频率和幅度。参与者在注视中央目标的同时执行简单和困难的心理算术任务。如果可以假设隐含的因果关系,那么瞳孔直径和微扫视幅度的试验间变化似乎能够充分区分任务难度,从而区分认知负荷。本文的贡献证实了之前关于微扫视幅度的工作,并通过将微扫视指标与瞳孔测量指标直接进行比较,扩展了这项工作。据我们所知,这是第一项比较任务诱发的瞳孔和微扫视认知负荷测量可靠性和敏感性的研究。