ArticleJournal of vision2020
Visual crowding in driving.
Article in Journal of vision, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 28 citations in OpenAlex.
- Effect of Visual Crowding on Quality of Life in Glaucoma Patients.Investigative ophthalmology & visual science · 2026Article
- Article
- Elevated Visual Crowding in CRB1-Associated Retinopathies: Understanding Functional Visual Deficits Using Child-Friendly Computerized Testing.Investigative ophthalmology & visual science · 2025Article
- Limited midlevel mediation of visual crowding: Surface completion fails to support uncrowding.Journal of vision · 2024Article
- Article
- Spatial variability in localization biases predicts crowding performance.Journal of vision · 2023Article
- Individual differences in classification images of Mooney faces.Journal of vision · 2022Article
- Relative tuning of holistic face processing towards the fovea.Vision research · 2022Article
- Analysis of Different College Music Education Management Modes Using Big Data Platform and Grey Theoretical Model.Journal of environmental and public health · 2022Article
- Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing.Journal of vision · 2021Article
- An implementation of Bubble Magnification did not improve the video comprehension of individuals with central vision loss.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Visual crowding-the deleterious influence of nearby objects on object recognition-is considered to be a major bottleneck for object recognition in cluttered environments. Although crowding has been studied for decades with static and artificial stimuli, it is still unclear how crowding operates when viewing natural dynamic scenes in real-life situations. For example, driving is a frequent and potentially fatal real-life situation where crowding may play a critical role. In order to investigate the role of crowding in this kind of situation, we presented observers with naturalistic driving videos and recorded their eye movements while they performed a simulated driving task. We found that the saccade localization on pedestrians was impacted by visual clutter, in a manner consistent with the diagnostic criteria of crowding (Bouma's rule of thumb, flanker similarity tuning, and the radial-tangential anisotropy). In order to further confirm that altered saccadic localization is a behavioral consequence of crowding, we also showed that crowding occurs in the recognition of cluttered pedestrians in a more conventional crowding paradigm. We asked participants to discriminate the gender of pedestrians in static video frames and found that the altered saccadic localization correlated with the degree of crowding of the saccade targets. Taken together, our results provide strong evidence that crowding impacts both recognition and goal-directed actions in natural driving situations.
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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.