ArticleAnnals of the New York Academy of Sciences2023
Affordances and curvature preference: The case of real objects and spaces.
Article in Annals of the New York Academy of Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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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.
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Who cites it
4 citing papers in PubMed.
- The impact of preference for interior space design on incidental recognition memory.Memory & cognition · 2026Article
- A design-integrated framework for neuroarchitectural research.Frontiers in psychology · 2026Article
- Neural dissociation between computational and perceived measures of curvature.Scientific reports · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chuquichambi and colleagues recently questioned the prevailing belief that a universal human visual preference exists for curved shapes and lines. Their comprehensive meta-analysis demonstrated that while curvature preference is widespread, it is not universally constant or invariant. By revisiting their dataset, we made an intriguing discovery: a negative relationship between curvature preference and an object's "affordances." Taking an embodiment perspective into account, we propose an explanation for this phenomenon, suggesting that the diminished curvature preference in objects with abundant affordances can be understood through the lens of embodied cognition.
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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.