Evidence map›Paper›PMID 42144622›Full record

ArticleBMC psychology2026

The role of stimulus characteristics in visual attention: an eye-tracking study.

Ela Berger, Michal Hochhauser

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ela BergerDepartment of Occupational Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel. alabe@ariel.ac.il.
Michal HochhauserDepartment of Occupational Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual attention in complex environments is shaped by multiple stimulus characteristics, yet most studies have examined only one or two features at a time. Eye-tracking combined with a change blindness paradigm offers a sensitive way to evaluate how different visual features guide the detection of changes in naturalistic scenes. This study aimed to validate visual stimuli with varying characteristics and to determine which factors are most significantly associated with visual attention.

methodsFifty university students viewed pairs of real-world scenes while their gaze behavior was recorded using an eye tracking system. Participants were required to detect a single changed item across image pairs. Four visual characteristics were manipulated: social versus nonsocial content, number of distractors, congruency, and level of interest (central vs. marginal).

resultsResponse times varied significantly across all characteristics. Faster detection was observed for social stimuli, scenes with fewer distractors, congruent changes, and items of central interest. Linear mixed-effects models (LMMs) revealed that level of interest was the strongest predictor of response time, followed by the number of distractors, congruency, and social content.

conclusionEye-tracking measures, particularly response time to detect change, demonstrated that central interest and fewer distractors were the strongest predictors of visual attention. These findings accentuate the complexity of visual attention and highlight its potential impact on interpreting environmental stimuli and the broader effects on academic performance and daily functioning.

Indexed as

AttentionEye MovementsEye-Tracking TechnologyVisual PerceptionAdolescentAdultFemaleHumansMalePhotic StimulationReaction TimeYoung AdultChange blindnessEye-trackingStimulus characteristicsVisual attention

Identifiers

PMID42144622
PMCPMC13348982

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.