Evidence map›Paper›PMID 37700648›Full record

ArticleProceedings. Biological sciences2023

Influence of colour vision on attention to, and impression of, complex aesthetic images.

Chihiro Hiramatsu, Tatsuhiko Takashima, Hiroaki Sakaguchi, Xu Chen, Satohiro Tajima, Takeharu Seno, Shoji Kawamura

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Chihiro HiramatsuDepartment of Design, Kyushu University, Fukuoka 810-8540, Japan.ORCID 0000-0003-1191-4476
Tatsuhiko TakashimaDepartment of Design, Kyushu University, Fukuoka 810-8540, Japan.
Hiroaki SakaguchiDepartment of Design, Kyushu University, Fukuoka 810-8540, Japan.
Xu ChenDepartment of Design, Kyushu University, Fukuoka 810-8540, Japan.
Satohiro TajimaDepartment of Basic Neuroscience, University of Geneva, Geneva 1211, Switzerland.ORCID 0000-0002-9597-1381
Takeharu SenoDepartment of Design, Kyushu University, Fukuoka 810-8540, Japan.
Shoji KawamuraDepartment of Integrated Biosciences, The University of Tokyo, Chiba 277-8562, Japan.ORCID 0000-0003-0350-6050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans exhibit colour vision variations due to genetic polymorphisms, with trichromacy being the most common, while some people are classified as dichromats. Whether genetic differences in colour vision affect the way of viewing complex images remains unknown. Here, we investigated how people with different colour vision focused their gaze on aesthetic paintings by eye-tracking while freely viewing digital rendering of paintings and assessed individual impressions through a decomposition analysis of adjective ratings for the images. Gaze-concentrated areas among trichromats were more highly correlated than those among dichromats. However, compared with the brief dichromatic experience with the simulated images, there was little effect of innate colour vision differences on impressions. These results indicate that chromatic information is instructive as a cue for guiding attention, whereas the impression of each person is generated according to their own sensory experience and normalized through one's own colour space.

Indexed as

Color VisionEstheticsHumansPolymorphism, Geneticattentioncolour visiondichromaticimpressiontrichromatic

Identifiers

PMID37700648
PMCPMC10498032

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.