SynthesisAnnals of the New York Academy of Sciences2022
How universal is preference for visual curvature? A systematic review and meta-analysis.
Synthesis in Annals of the New York Academy of Sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How universal is preference for visual curvature? A systematic review and meta-analysis.Annals of the New York Academy of Sciences · 2022Pooled it
- The impact of preference for interior space design on incidental recognition memory.Memory & cognition · 2026Article
- Does Your Hat Speak Your Mind? Personality Traits and Aesthetic Preferences for Hats Among Italian Young Adults.Behavioral sciences (Basel, Switzerland) · 2026Article
- Informing the redesign of psychiatric seclusion rooms: a mixed-methods pre-evaluation with individuals with lived experience.BMC psychiatry · 2026Article
- Developing Associations to the Sounds of a Name.Developmental science · 2026Article
- A design-integrated framework for neuroarchitectural research.Frontiers in psychology · 2026Article
- Unveiling the relationship between aesthetic experiences and attention through a cross-experiment validation of their processing biomarkers.PNAS nexus · 2025Article
- Individual preferences for certain types of spirals and the possible role of creativity.Scientific reports · 2025Article
- Is Kiki angry and Bouba happy? Association between emotions, shapes, and sounds.Psychological research · 2025Article
- A toolbox for calculating quantitative image properties in aesthetics research.Behavior research methods · 2025Article
- Neural dissociation between computational and perceived measures of curvature.Scientific reports · 2024Article
- Measures of angularity in digital images.Behavior research methods · 2024Article
- Consensus and contention in beauty judgment.iScience · 2024Article
- The Aesthetic Developmental Characteristics of Contour Features in Children and Adolescents with High- and Low- Level Visual Aesthetic Sensitivity across Grade Levels.Behavioral sciences (Basel, Switzerland) · 2024Article
- Statistical image properties and aesthetic judgments on abstract paintings by Robert Pepperell.Journal of vision · 2023Article
- The contour effect: Differences in the aesthetic preference and stress response to photo-realistic living environments.Frontiers in psychology · 2022Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Evidence dating back a century shows that humans are sensitive to and exhibit a preference for visual curvature. This effect has been observed in different age groups, human cultures, and primate species, suggesting that a preference for curvature could be universal. At the same time, several studies have found that preference for curvature is modulated by contextual and individual factors, casting doubt on this hypothesis. To resolve these conflicting findings, we conducted a systematic meta-analysis of studies that have investigated the preference for visual curvature. Our meta-analysis included 61 studies which provided 106 independent samples and 309 effect sizes. The results of a three-level random effects model revealed a Hedges' g of 0.39-consistent with a medium effect size. Further analyses revealed that preference for curvature is moderated by four factors: presentation time, stimulus type, expertise, and task. Together, our results suggest that preference for visual curvature is a reliable but not universal phenomenon and is influenced by factors other than perceptual information.
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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.