Use of Eye-Tracking Technology to Investigate Cognitive Load Theory
Tianlong Zu, John Hutson, Lester C. Loschky, and N. Sanjay Rebello

TL;DR
This study explores how eye-tracking technology can differentiate between the three types of cognitive load in learning, providing a physiological measurement approach to enhance understanding of cognitive load theory.
Contribution
It introduces a method to measure intrinsic, extraneous, and germane loads separately using eye-tracking parameters during learning tasks.
Findings
Eye-tracking parameters relate differently to each load type.
Explicit manipulation of load types shows distinct eye movement patterns.
Participants with low prior knowledge exhibit measurable differences in eye behavior.
Abstract
Cognitive load theory (CLT) provides us guiding principles in the design of learning materials. CLT differentiates three different kinds of cognitive load -- intrinsic, extraneous and germane load. Intrinsic load is related to the learning goal, extraneous load costs cognitive resources but does not contribute to learning. Germane load can foster learning. Objective methods, such as eye movement measures and EEG have been used measure the total cognitive load. Very few research studies, if any, have been completed to measure the three kinds of load separately with physiological methods in a continuous manner. In this current study, we will show how several eye-tracking based parameters are related to the three kinds of load by having explicit manipulation of the three loads independently. Participants having low prior knowledge regarding the learning material participated in the study.…
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Taxonomy
TopicsVisual and Cognitive Learning Processes · Intelligent Tutoring Systems and Adaptive Learning · Gaze Tracking and Assistive Technology
