ArticleProceedings of the National Academy of Sciences of the United States of America2025
Core dimensions of human material perception.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Systematic image perturbations reveal persistent gaps between human and machine vision.iScience · 2026Article
- Material discrimination relies on context-dependent active sensing strategies.Journal of vision · 2026Article
- Perceiving material qualities from moving contours.Scientific reports · 2026Article
- Material fictions: Comparing physically based renderings and generative AI images through material perception.Journal of vision · 2026Article
- The element of surprise distinguishes beauty from pleasure and interest in visuo-tactile perception of art.Scientific reports · 2026Article
- Early Depth Engagement in Art Perception: visual dynamics and aesthetic experience.Frontiers in psychology · 2026Article
- A comparison of density-based and feature-based texture boundary segmentation.Vision research · 2025Article
- Article
- The visibility of Eidolon distortions in things and stuff.Journal of vision · 2025Article
- Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli.Journal of the Royal Society, Interface · 2025Article
- Shaping Green Choices: How Sensory Cues Drive Behavior of Wood-Plastic Composites.Behavioral sciences (Basel, Switzerland) · 2025Article
- Probing the link between vision and language in material perception using psychophysics and unsupervised learning.PLoS computational biology · 2024Article
- Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised Learning.bioRxiv : the preprint server for biology · 2024Article
- Perceptual dimensions of wood materials.Journal of vision · 2024Article
- Assessing the representational structure of softness activated by words.Scientific reports · 2023Article
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Authors and funding
4 authors.
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Abstract
Visually categorizing and comparing materials is crucial for everyday behavior, but what organizational principles underlie our mental representation of materials? Here, we used a large-scale data-driven approach to uncover core latent dimensions of material representations from behavior. First, we created an image dataset of 200 systematically sampled materials and 600 photographs (STUFF dataset, https://osf.io/myutc/). Using these images, we next collected 1.87 million triplet similarity judgments and used a computational model to derive a set of sparse, positive dimensions underlying these judgments. The resulting multidimensional embedding space predicted independent material similarity judgments and the similarity matrix of all images close to the human intersubject consistency. We found that representations of individual images were captured by a combination of 36 material dimensions that were highly reproducible and interpretable, comprising perceptual (e.g., grainy, blue) as well as conceptual (e.g., mineral, viscous) dimensions. These results provide the foundation for a comprehensive understanding of how humans make sense of materials.
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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.