Aesthetic Preference in Adolescents as a Function of Race and Visual Complexity

1972 ◽  
Vol 13 (2) ◽  
pp. 23 ◽  
Author(s):  
Frank H. Farley ◽  
Phyllis M. Dowling
Keyword(s):  
Visual Complexity ◽  
Aesthetic Preference

Poetic Vividness and Aesthetic Preference: Individual Differences in Poetry Writing Styles

1998 ◽  
Vol 86 (2) ◽  
pp. 428-430
Author(s):  
Mary Gende ◽  
Roy King
Keyword(s):  
Individual Differences ◽  
Therapy Group ◽  
Visual Complexity ◽  
Poetry Therapy ◽  
Aesthetic Preference ◽  
Poetry Writing ◽  
Style Of Writing

Preference for visual complexity is shown to be correlated with an imagistic and metaphoric style of writing poetry for individuals participating in a poetry therapy group.

scholarly journals Familiarity and Novelty in Aesthetic Preference: The Effects of the Properties of the Artwork and the Beholder

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiwon Song ◽  
Yuna Kwak ◽  
Chai-Youn Kim
Keyword(s):  
Eye Tracking ◽  
Visual Complexity ◽  
Aesthetic Appreciation ◽  
Novelty Preference ◽  
Aesthetic Preference ◽  
Differential Effects ◽  
Factors Influencing ◽  
Images Of Paintings

Familiarity and novelty are fundamental yet competing factors influencing aesthetic preference. However, whether people prefer familiar paintings or novel paintings has not been clear. Using both behavioral and eye-tracking measures, the present study aimed to investigate whether the effect of familiarity-novelty on aesthetic preference is independent or dependent on artwork properties (painting content, visual complexity) and viewer characteristics (experience in art). Participants were presented with two images of paintings, one of which was repeatedly presented but was always paired with a new painting in a randomized lateral arrangement. They were asked to indicate which of the two images they preferred with the degree of their preference. Behavioral results demonstrated an interactive influence of painting content and complexity on familiarity-novelty preference, especially alongside the distinction between representational and abstract paintings. Also, the familiarity-novelty preference was modulated by the degree of art experience, for abstract paintings in particular. Gaze results showed the differential effects of painting content, complexity, and art experience echoing the behavioral results. Taken together, the convergent results derived from behavioral and eye-tracking measures imply that novelty is an important feature of aesthetic appreciation, but its influence is modulated by properties of both the artwork and the beholder.

The Impact of Perceived Visual Complexity, Gender, and Cognitive Style on Children's Aesthetic Preferences for Learning Web Pages

2014 ◽  
pp. 248-265
Author(s):  
Hsiu-Feng Wang ◽  
Pei-Yu Wang ◽  
Ching-Chih Liao ◽  
Yu-Yin Lin
Keyword(s):  
Cognitive Style ◽  
Visual Complexity ◽  
Web Pages ◽  
Aesthetic Preference ◽  
Subject Design ◽  
Medium Level ◽  
High Level ◽  
The Impact ◽  
Different Levels ◽  
Aesthetic Preferences

This chapter examines children's aesthetic preferences for learning Web pages designed for them. It applies Berlyne's theory of aesthetic preference to these Web pages: a theory that suggests that people prefer a medium level of stimuli to a low or high level of stimuli. The experiment employs a 3 x 2 x 2 between-subject design; it explores perceived visual complexity, gender, cognitive style, and aesthetic preference. A total of 120 children (60 boys and 60 girls) aged between 11 to 12 years-old take part in the experiment. The children are asked to rate learning Web pages of different levels of perceived visual complexity for aesthetic preference. These Web pages have been created by the authors. The results of the experiment show that overall the children prefer Web pages that display a medium level of perceived visual complexity to those that display a high or low level of perceived visual complexity. Thus, the results support Berlyne's theory. However, when aesthetic preference is analysed with respect to gender, it is found that different levels of perceived visual complexity have an impact on boys' aesthetic preferences but not girls'. In other words, Berylne's theory is only partly supported. Likewise, Berylne's theory is only partly supported when aesthetic preference is analysed with respect to cognitive style. Here, imagers prefer a high level of perceived visual complexity and verbalisers prefer a medium level of perceived visual complexity. This chapter should be of interest to anyone who designs learning Web pages for children.

The Impact of Visual Complexity on Children's Learning Websites in Relation to Aesthetic Preference and Learning Motivation

2014 ◽  
pp. 395-412
Author(s):  
Hsiu-Feng Wang ◽  
Julian Bowerman
Keyword(s):  
Visual Complexity ◽  
Learning Motivation ◽  
Moderate Degree ◽  
Aesthetic Preference ◽  
Children’S Learning ◽  
Medium Level ◽  
Set Up ◽  
Perceived Complexity ◽  
The Relationship ◽  
Children's Learning

Websites in addition to being usable must also be pleasurable to look at. However, although much research has been conducted into usability, subjective issues have been far less explored. The purpose of this research is to look at the relationship between visual complexity, aesthetics, and learning motivation in children’s learning websites. An experiment was set up that involved 132 11-12 year-old children using homepages taken from Websites designed for children as test materials. In the experiment, the children were randomly assigned into 3 groups and given a different visual complexity Website according to their group. The Websites given were: homepage with a low degree of visual complexity; homepage with a moderate degree of visual complexity; and homepage with a high degree of visual complexity. This study is guided by Berlyne’s experimental theory, which suggests that there is an inverted-U shaped relationship between preference for a stimulus and its complexity. The study applies his theory and aims to understand the relationship between visual complexity, aesthetic preference, and learning motivation. The findings show that children prefer aesthetics of a medium level of perceived complexity, supporting Berlyne’s theory. It also shows that children’s aesthetic preferences and learning motivation are correlated. The findings have implications for Web designers working on children’s Websites as they suggest that by manipulating visual complexity viewing pleasure can be enhanced or depreciated.

“Think of the Children!”

2019 ◽  
pp. 235-254
Author(s):  
Hsiu-Feng Wang
Keyword(s):  
Visual Complexity ◽  
Learning Motivation ◽  
Older Children ◽  
Aesthetic Preference ◽  
Low Level ◽  
Visual Aesthetics ◽  
Age Related ◽  
Medium Level ◽  
High Level ◽  
Different Levels

This experiment examined children's visual aesthetics and learning motivation with regard to websites. It applied Berlyne's theory of aesthetic preference to these websites. The experiment explored the relations between visual complexity, visual aesthetics, learning motivation, and children's age, and their effect on websites. A total of 150 children between 10 and 12 years old were involved. The children were asked to rate websites of different levels of perceived visual complexity in terms of visual aesthetic and learning motivation. The results showed that the children preferred websites that displayed a medium level of perceived visual complexity to those that displayed a high or low level of perceived visual complexity. Thus, the results supported Berlyne's theory. However, when aesthetic preference was analyzed with respect to age-related differences, it was found that older children preferred a medium level of perceived visual complexity and younger children preferred a high level of perceived visual complexity.

scholarly journals Comparison of Outlier-Tolerant Models for Measuring Visual Complexity

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 488 ◽  
Author(s):  
Adrian Carballal ◽  
Carlos Fernandez-Lozano ◽  
Nereida Rodriguez-Fernandez ◽  
Iria Santos ◽  
Juan Romero
Keyword(s):  
Computer Vision ◽  
Input Data ◽  
Computational Models ◽  
Visual Complexity ◽  
Aesthetic Preference ◽  
Genetic Search ◽  
Minimum Number ◽  
Better Than

Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision have focused on identifying features and computational models that allow for satisfactory results. This paper studies the application of recent ML models using input images evaluated by humans and characterized by features related to visual complexity. According to the experiments carried out, it was confirmed that one of these methods, Correlation by Genetic Search (CGS), based on the search for minimum sets of features that maximize the correlation of the model with respect to the input data, predicted human ratings of image visual complexity better than any other model referenced to date in terms of correlation, RMSE or minimum number of features required by the model. In addition, the variability of these terms were studied eliminating images considered as outliers in previous studies, observing the robustness of the method when selecting the most important variables to make the prediction.

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