Evidence map›Paper›PMID 41325323›Full record

ArticlePloS one2025

Cognitive load and visual attention assessment using physiological eye tracking measures in multimedia learning.

Fatemeh Shahnabati, Atefeh Sabourifard, S Hamid Amiri, Alireza Bosaghzadeh, Reza Ebrahimpour

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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.

Fatemeh ShahnabatiDepartment of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Islamic Republic of Iran.
Atefeh SabourifardDepartment of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Islamic Republic of Iran.
S Hamid AmiriDepartment of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Islamic Republic of Iran.
Alireza BosaghzadehDepartment of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Islamic Republic of Iran.
Reza EbrahimpourCenter for Cognitive Science, Institute for Convergence Science and Technology (ICST), Sharif University of Technology, Tehran, Islamic Republic of Iran.ORCID https://orcid.org/0000-0002-7013-8078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective multimedia content design can boost performance, capture visual attention, and optimize cognitive load. The current study employs eye-tracking technology to establish metrics to measure cognitive load, analyze visual attention allocation, and evaluate learners' performance in English language learning. The study focuses on creating and comparing two different multimedia presentations. The differentiation between them lies in their adherence to or deviation from Mayer's educational multimedia design principles: coherence, signaling, and spatial contiguity. participants were randomly assigned to two groups. The first group viewed with principles version, while the second group viewed without principles version, during which their eye movement data were collected. Subsequently, both groups participated in a recall test and completed the NASA-TLX questionnaire. The research establishes connections between specific eye-tracking parameters, subjective cognitive load scores, and recall test results through regression models and analyzes fixation distributions. The study also delves into microsaccades rate and changes in pupil size, each analyzed within times of interest. The study's findings indicate that the examined metrics can significantly help distinguish between the two conditions: principles and no principles. These metrics are pertinent for assessing individuals' cognitive load and visual attention and serve as beneficial indicators for gauging the efficacy of the designed multimedia content.

Indexed as

AttentionCognitionEye MovementsEye-Tracking TechnologyLearningMultimediaAdultFemaleHumansMaleMental RecallVisual PerceptionYoung Adult

Identifiers

PMID41325323
PMCPMC12668483

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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.