Evidence map›Paper›PMID 37386108›Full record

ArticleNature human behaviour2023

Material category of visual objects computed from specular image structure.

Alexandra C Schmid, Pascal Barla, Katja Doerschner

Abstract read
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alexandra C SchmidDepartment of Psychology, Justus Liebig University Giessen, Giessen, Germany. Alexandra.Schmid@nih.gov.ORCID http://orcid.org/0000-0001-6555-3894
Pascal BarlaInria, Bordeaux, France.ORCID http://orcid.org/0000-0003-2844-6656
Katja DoerschnerDepartment of Psychology, Justus Liebig University Giessen, Giessen, Germany.ORCID http://orcid.org/0000-0002-8364-800X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recognizing materials and their properties visually is vital for successful interactions with our environment, from avoiding slippery floors to handling fragile objects. Yet there is no simple mapping of retinal image intensities to physical properties. Here, we investigated what image information drives material perception by collecting human psychophysical judgements about complex glossy objects. Variations in specular image structure-produced either by manipulating reflectance properties or visual features directly-caused categorical shifts in material appearance, suggesting that specular reflections provide diagnostic information about a wide range of material classes. Perceived material category appeared to mediate cues for surface gloss, providing evidence against a purely feedforward view of neural processing. Our results suggest that the image structure that triggers our perception of surface gloss plays a direct role in visual categorization, and that the perception and neural processing of stimulus properties should be studied in the context of recognition, not in isolation.

Indexed as

JudgmentManufactured MaterialsSurface PropertiesVisual PerceptionAdultAvoidance LearningContrast SensitivityCuesFemaleHumansLatent Class AnalysisMale

Identifiers

PMID37386108
PMCPMC10365995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.