Regularity of colour statistics in explaining colour composition preferences in art paintings

Nakauchi, Shigeki; Tamura, Hideki

doi:10.1038/s41598-022-18847-9

Cited by 9 publications

(10 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To determine preferences regarding the hue of the original painting, three images (90°, 180°, and 270°) were created by hue‐rotating the original painting (0°) based on previous studies (Nakauchi et al, 2022; Nakauchi & Tamura, 2022). Figure 1 shows typical “hue‐rotated” images.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Children's preferences of the colour composition of art paintings

Imura

Shirai

Kondo

et al. 2023

Infant and Child Development

Self Cite

View full text Add to dashboard Cite

Colour composition is acknowledged as a key contributor to aesthetic evaluation in visual art. Adult observers tend to prefer colour compositions that are particularly close to the original, regardless of the painting's category or the observer's cultural background. In this study, we examined whether children aged 5–12 years expressed a preference for the colour composition of original paintings using three scene types: abstract, figure, and botanical. The children each selected one of their preferred images from the paintings with four different colour compositions, including the original hue. A preference for the colour compositions of original figure paintings emerged between the ages of 5 and 8, and a similar preference for abstract and botanical paintings emerged between the ages of 9 and 12. Thus, preferences regarding colour composition in paintings are gradually acquired from childhood to adulthood.Highlights Children aged 9–12 years showed a preference for colour compositions closer to the originals, as did adults. Children aged 5–8 years showed no particular colour preference for abstract or botanical paintings but did show a preference for figure paintings that were closest to the original with respect to colour composition. Preferences for original colour composition in painting develop gradually from childhood to adulthood.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Therefore, colour distribution may be more important than spatial structure in terms of preferences for paintings, including abstract ones. Notably, the colour distributions of paintings and natural scenes show both similarities and differences (Nakauchi & Tamura, 2022).…”

Section: Introductionmentioning

confidence: 99%

Children's preferences of the colour composition of art paintings

Imura

Shirai

Kondo

et al. 2023

Infant and Child Development

Self Cite

View full text Add to dashboard Cite

show abstract

“…Color statistics for each photograph were computed in the CIELAB color space (Nakauchi & Tamura, 2022). Each color is represented in a space consisting of three indices: lightness ( L ) and chromaticity ( a , b ).…”

Section: Methodsmentioning

confidence: 99%

“…L represents a change in color intensity from black to white, chromaticity index a corresponds to a change from green to red, and chromaticity index b corresponds to a change from blue to yellow. For each of these indices, three statistics were computed: mean, variance, and skewness of the colorimetric values in the CIELAB color space, as described previously (Nakauchi & Tamura, 2022).…”

Section: Statement Of Relevancementioning

confidence: 99%

Changing What You Like: Modifying Contour Properties Shifts Aesthetic Valuations of Scenes

Farzanfar,

Walther

2023

Psychol Sci

View full text Add to dashboard Cite

To what extent do aesthetic experiences arise from the human ability to perceive and extract meaning from visual features? Ordinary scenes, such as a beach sunset, can elicit a sense of beauty in most observers. Although it appears that aesthetic responses can be shared among humans, little is known about the cognitive mechanisms that underlie this phenomenon. We developed a contour model of aesthetics that assigns values to visual properties in scenes, allowing us to predict aesthetic responses in adults from around the world. Through a series of experiments, we manipulate contours to increase or decrease aesthetic value while preserving scene semantic identity. Contour manipulations directly shift subjective aesthetic judgments. This provides the first experimental evidence for a causal relationship between contour properties and aesthetic valuation. Our findings support the notion that visual regularities underlie the human capacity to derive pleasure from visual information.

show abstract

“…We compute these spatial statistics for both the luminance and the chromatic components of the image (see also Mather, 2020 ). The chromatic statistics are partly chosen on the basis of prior research with adults (e.g., Berman et al, 2014 ; Nakauchi & Tamura, 2022 ). However, unlike previous research we define colors in a biologically plausible color space that specifies colors in terms of their activation of the two cardinal neural subsystems that underpin color vision ( MacLeod & Boynton, 1979 ), and we also present stimuli on color-calibrated displays.…”

Section: Introductionmentioning

confidence: 99%

Chromatic and spatial image statistics predict infants’ visual preferences and adults’ aesthetic preferences for art

McAdams,

Chambers,

Bosten

et al. 2023

Journal of Vision

View full text Add to dashboard Cite

Aesthetics has been characterized as a triadic interaction of perceptual, emotional, and conceptual neural systems (e.g., Chatterjee & Vartanian, 2014). There has been much empirical effort to identify the visual features that contribute to the perceptual component of this triad (e.g., Mather, 2020). Here, we measured infants’ visual preferences and adults’ aesthetic preferences for 40 of van Gogh's landscape paintings and investigated the contribution of the chromatic and spatial image statistics of the art to infants’ and adults’ responses. We found that infants’ and adults’ responses were significantly related: infants looked longer at the art that the adults found more pleasant. We also found that our combination of chromatic and spatial image statistics could account for around two thirds of the variance in infant looking and adult pleasantness ratings. The amount of variation in the luminance and saturation of the art's pixels contributed to both infants’ visual preferences and adults’ aesthetic preferences, potentially identifying two “perceptual primitives” of aesthetics that can be traced back to early sensory biases in infancy. We also identified important differences in the types of image statistics that predict infants’ and adults’ responses. We discuss the findings in relation to theories of aesthetics, natural scene statistics, and infant vision and perception.

show abstract

Regularity of colour statistics in explaining colour composition preferences in art paintings

Cited by 9 publications

References 40 publications

Children's preferences of the colour composition of art paintings

Children's preferences of the colour composition of art paintings

Changing What You Like: Modifying Contour Properties Shifts Aesthetic Valuations of Scenes

Chromatic and spatial image statistics predict infants’ visual preferences and adults’ aesthetic preferences for art

Contact Info

Product

Resources

About