ArticleVisual cognition2025
Meaning maps predict reaction time in change detection.
Article in Visual cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The role of stimulus characteristics in visual attention: an eye-tracking study.BMC psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
To detect changes in our visual environments, the visual system compares pre-and post-change representations maintained in active working memory. Previous research has suggested that change detection is primarily informed by high-level semantics in naturalistic scenes. Here, across two experiments, we used meaning maps - a data driven method to measure the visual semantic information in naturalistic scenes - to investigate whether semantic features predicted visual change detection in a flicker paradigm. Experiment 1 showed that changes in highly meaningful regions were more easily detected than changes in non-meaningful regions despite controlling for low-level visual saliency. Experiment 2 found that the meaning-driven advantage was significantly reduced by scene inversion, further supporting the role of semantics in change detection. Together, these results demonstrate that the visual system relies on semantic features during change detection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.