Evidence map›Paper›PMID 40542077›Full record

ArticleScientific reports2025

Image statistics substantiate Gaudí's naturalistic design principles.

Olga Dyakova, Karin Nordström, Christian Benedict

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Olga DyakovaDepartment of Medical Cell Biology, Uppsala University, 17 751 24, Uppsala, Sweden. dr.olga.dyakova@gmail.com.
Karin NordströmDepartment of Medical Cell Biology, Uppsala University, 17 751 24, Uppsala, Sweden.
Christian BenedictDepartment of Pharmaceutical Biosciences, Uppsala University, 751 24, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human observers perceive natural and man-made environments differently, a distinction measurable through image statistics. However, limited evidence exists on how architectural style influences these statistics and, consequently, visual perception. Understanding this relationship is essential, as architectural design shapes both our visual and psychological experiences of built environments. The amplitude spectrum slope quantifies sharpness and detail in an image, with values closer to 1 typically found in photographs of natural scenes. Image entropy, reflecting unpredictability, also plays a role in visual attention-images with higher entropy are more likely to capture interest. In this study, we analyzed photographs of buildings designed by Antoni Gaudí, renowned for his nature-inspired architecture. Our findings reveal that Gaudí's buildings display an amplitude spectrum slope more similar to that of natural scenes than contemporary structures from the same area, alongside higher image entropy. Effect size measures indicated that the observed differences in slope constant and entropy between images of Gaudí buildings and contemporary buildings were medium and large in magnitude. The presence of trees in front of contemporary buildings shifts their image statistics toward naturalistic values. These results suggest that incorporating naturalistic design elements into architecture can alter image statistics, potentially influencing perception and aesthetic experience. In contemporary architecture, where minimalist and geometric styles are prevalent, these insights highlight the potential benefits of reintroducing complexity and naturalistic aesthetics to create more engaging and psychologically restorative built environments.

Indexed as

ArchitectureVisual PerceptionHumansPhotographyAmplitude spectrum slopeArchitectureBuildingsNatural formsShannon entropy

Identifiers

PMID40542077
PMCPMC12181311

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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.