Keywords:
Cognitive load; Pupil siza; Pupil data preprocessing
认知负荷;瞳孔大小;瞳孔数据预处理
Abstract:
Pupil size is an important parameter in eye movement research. In the field of cognitiveresearch, pupil size is considered sensitive indicator reflecting cognitive resource allocation and cognitiveload. Given that there are few studies in China that use pupil size as a measure of cognitive load, andthere are even fewer papers reporting on how to preprocess pupil data collected, such as removing,interpolating, filtering, etc., the preprocessing of pupil data lacks reference. This thesis aims to use pupilsize as an indicator of cognitive load during emotional regulation, and to introduce the export andpreprocessing of pupil data collected through the Eyelink2000 eye tracking system. It is hoped that thispaper can provide reference for other researchers.
瞳孔大小是眼动研究中一个重要的参数指标。在认知研究领域,瞳孔大小的变化被认为是体现资源分配和认知负荷的敏感指标。鉴于我国使用瞳孔大小作为认知负荷测量指标的研究寥寥无几,更是鲜少有研究报告如何对瞳孔数据进行预处理,比如剔除、缺失数据的插补、过滤筛选等,使得对瞳孔数据的处理缺乏参考。本文旨在以情绪调节任务为例,把瞳孔大小作为认知负荷的测量指标,介绍使用Eyelink2000眼动仪采集的瞳孔数据的导出、预处理等,希望可以给相关研究者提供借鉴。