ArticleScientific reports2024
Visual search patterns during exploration of naturalistic scenes are driven by saliency cues in individuals with cerebral visual impairment.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).Ophthalmology science · 2026Article
- Uncovering atypical gaze patterns in cerebral visual impairment: New insights from an exploratory gaze-based analysis.Journal of vision · 2026Article
- Structural and functional attention network connectivity in relation to visual selective attention dysfunction in cerebral visual impairment.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Method for assessing visual saliency in children with cerebral/cortical visual impairment using generative artificial intelligence.Frontiers in human neuroscience · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
We investigated the relative influence of image salience and image semantics during the visual search of naturalistic scenes, comparing performance in individuals with cerebral visual impairment (CVI) and controls with neurotypical development. Participants searched for a prompted target presented as either an image or text cue. Success rate and reaction time were collected, and gaze behavior was recorded with an eye tracker. A receiver operating characteristic (ROC) analysis compared the distribution of individual gaze landings based on predictions of image salience (using Graph-Based Visual Saliency) and image semantics (using Global Vectors for Word Representations combined with Linguistic Analysis of Semantic Salience) models. CVI participants were less likely and were slower in finding the target. Their visual search behavior was also associated with a larger visual search area and greater number of fixations. ROC scores were also lower in CVI compared to controls for both model predictions. Furthermore, search strategies in the CVI group were not affected by cue type, although search times and accuracy showed a significant correlation with verbal IQ scores for text-cued searches. These results suggest that visual search patterns in CVI are driven mainly by image salience and provide further characterization of higher-order processing deficits observed in this population.
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