Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators

This study focused on the prediction of intrinsic and extraneous cognitive load using eye-tracking metrics, heart rate variability, and galvanic skin response. Intrinsic cognitive load is associated with the inherent complexity of the mental task, whereas extraneous cognitive load is related to the distracting and unrelated elements in the task. Thirty-three participants (aged [Formula: see text]) performed different levels of mental calculations to induce intrinsic cognitive load in the first task and a visual search task to manipulate extraneous cognitive load in the second task. During both tasks, participants' eye movements, heart rate, and galvanic skin response were continuously recorded. Participants' working memory was controlled. Subjective cognitive load was also assessed following each experimental task. A discriminant model, consisting of oculo- and bio-metric indicators, could discriminate between cognitive loads (intrinsic vs.extraneous) and levels (low vs.high). In particular, average fixation duration, average saccade amplitude, and [Formula: see text] coefficient each have an impact on the model. In addition, task difficulty may be distinguished by the Low-High Index of Pupillary Activity (LHIPA) and heart rate variability.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-02-12
DOI
https://doi.org/10.1038/s41598-025-89336-y
Citations
20
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
38.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators

Izabela Krejtz, Andrew T. Duchowski, Krzysztof Krejtz, Carlos Duarte et al.
20 citations
Scientific Reports
Gaze Tracking and Assistive Technology
38.72
article

Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators

Izabela Krejtz, Andrew T. Duchowski, Krzysztof Krejtz, Carlos Duarte, Merve Ekin
article en
20 citations

Abstract

This study focused on the prediction of intrinsic and extraneous cognitive load using eye-tracking metrics, heart rate variability, and galvanic skin response. Intrinsic cognitive load is associated with the inherent complexity of the mental task, whereas extraneous cognitive load is related to the distracting and unrelated elements in the task. Thirty-three participants (aged [Formula: see text]) performed different levels of mental calculations to induce intrinsic cognitive load in the first task and a visual search task to manipulate extraneous cognitive load in the second task. During both tasks, participants' eye movements, heart rate, and galvanic skin response were continuously recorded. Participants' working memory was controlled. Subjective cognitive load was also assessed following each experimental task. A discriminant model, consisting of oculo- and bio-metric indicators, could discriminate between cognitive loads (intrinsic vs.extraneous) and levels (low vs.high). In particular, average fixation duration, average saccade amplitude, and [Formula: see text] coefficient each have an impact on the model. In addition, task difficulty may be distinguished by the Low-High Index of Pupillary Activity (LHIPA) and heart rate variability.

Scientific ReportsVol. 15(1)
University of Lisbon (PT), Uniwersytet SWPS (PL), Institute of Psychology (PL), Clemson University (US)
European Commission, Fundação para a Ciência e a Tecnologia, H2020 Marie Skłodowska-Curie Actions
Reduced inequalities
Openalex Percentile: Top 0%
Gaze Tracking and Assistive Technology
38.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.