Evidence map›Paper›PMID 39100931›Full record

Articlei-Perception

Material perception across different media-comparing perceived attributes in oil paintings and engravings.

Yuguang Zhao, Jeroen Stumpel, Huib de Ridder, Maarten W A Wijntjes

Abstract read
In one paragraph

Article in i-Perception. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Yuguang ZhaoPerceptual Intelligence lab, Faculty of Industrial Design Engineering, Delft University of Technology, The Netherlands.ORCID https://orcid.org/0000-0002-8524-7613
Jeroen StumpelDepartment of History and Art History, Utrecht University, The Netherlands.
Huib de RidderPerceptual Intelligence lab, Faculty of Industrial Design Engineering, Delft University of Technology, The Netherlands.
Maarten W A WijntjesPerceptual Intelligence lab, Faculty of Industrial Design Engineering, Delft University of Technology, The Netherlands.ORCID https://orcid.org/0000-0002-3657-735X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the influence of the medium on the perception of depicted objects and materials. Oil paintings and their reproductions in engravings were chosen because they are vastly distinctive media while having completely identical content. A total of 15 pairs were collected, consisting of 88 fragments depicting different materials, including fabric, skin, wood and metal. Besides the original condition, we created three manipulations to understand the effect of colour (a greyscale version) and contrast (equalised histograms towards both painting and engraving). We performed rating experiments on five attributes: three-dimensionality, glossiness, convincingness, smoothness and softness. An average of 25 participants finished each of the 20 online experimental sessions (five attributes X four conditions). Besides clear correlations between the two media, the differences mainly show in their means (different levels of perceived attributes) and standard deviations (perceived range). In most sessions, paintings depict a wider range than engravings. In addition, it was the histogram equalisation (global contrast) that made the most impact on perceived attributes, rather than colour removal. This suggests that engravers compensated for the lack of colour by exploiting the possibilities of local contrast.

Indexed as

art and perceptioncolourpictorial mediasurfaces/materialstexturethree-dimensional (3D) perception

Identifiers

PMID39100931
PMCPMC11297522

What OpenQuestion holds

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Registered trials

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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.