Evidence map›Paper›PMID 39939345›Full record

ArticleScientific reports2025

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

Merve Ekin, Krzysztof Krejtz, Carlos Duarte, Andrew T Duchowski, Izabela Krejtz

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Merve EkinInstitute of Psychology, SWPS University, Warsaw, 03-815, Poland. mekin@swps.edu.pl.
Krzysztof KrejtzInstitute of Psychology, SWPS University, Warsaw, 03-815, Poland.
Carlos DuarteLASIGE, Faculty of Sciences, University of Lisbon, Lisbon, 1649-004, Portugal.
Andrew T DuchowskiSchool of Computing, Clemson University, Clemson, SC, 29631, USA.
Izabela KrejtzInstitute of Psychology, SWPS University, Warsaw, 03-815, Poland.

Funding

European Union, Marie Skłodowska-Curie Actions, Doctoral Network, Eyes for Interaction, Communication, and Understanding - Eyes4ICU project 101072410Fundação para a Ciência e a Tecnologia (FCT) UID/000408/2025
6 · The paper itself

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.

Indexed as

CognitionEye MovementsAdultBiometryEye-Tracking TechnologyFemaleGalvanic Skin ResponseHeart RateHumansMaleMemory, Short-TermPupilYoung AdultBio-metricExtraneous cognitive loadEye trackingIntrinsic cognitive loadLinear discriminant analysis

Identifiers

PMID39939345
PMCPMC11822071

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.