ArticleScientific reports2018
The extraction of natural scene gist in visual crowding.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Adaptive rightward gaze shifts support configural object recognition during perceptual challenge.iScience · 2026Article
- Investigating the Structure of Emotion: Tools, Pitfalls and Recommendations.Affective science · 2025Article
- Visual cocktail party effect? Self-referencing facilitates object recognition in visual crowding.Psychonomic bulletin & review · 2025Article
- Divided attention in the tactile modality.Attention, perception & psychophysics · 2022Article
- Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing.Journal of vision · 2021Article
- A deep-learning framework for human perception of abstract art composition.Journal of vision · 2021Article
- Flexible contextual modulation of naturalistic texture perception in peripheral vision.Journal of vision · 2021Review
- Implicit Associations With Nature and Urban Environments: Effects of Lower-Level Processed Image Properties.Frontiers in psychology · 2021Article
- Visual crowding in driving.Journal of vision · 2020Article
- Cognitive Correlates of Reading Fluency in Chinese School-Aged Children.Frontiers in psychology · 2020Article
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Authors and funding
4 authors.
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Abstract
The gist of natural scenes can be extracted very rapidly and even without focal attention. However, it is unclear whether and to what extent the gist of natural scenes can break through the bottleneck of crowding, a phenomenon in which object recognition will be immensely impaired. In the first two experiments, a target scene, either presented alone or surrounded by four flankers, was categorized at basic (Experiment 1) or global levels (Experiment 2). It was showed that the elimination of high-level semantic information of flankers greatly alleviated the crowding effect, demonstrating that high-level information played an important role in crowding of scene gist. More importantly, participants were able to categorize the scenes in crowding at rather high accuracies, suggesting that the extraction of scene gist might be a prioritized process. To test this hypothesis, in Experiment 3 we compared the crowding effect of three types of stimuli, namely, scenes, facial expressions and letter "E"s. The results showed that scenes could be better categorized than the other two types of stimuli in the crowding condition. This scene gist advantage thus supported our hypothesis. Together, the present studies suggest that scene gist is highly recognizable in crowding, probably due to its prioritization in visual processing.
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