Predicting beauty
Fractal dimension and visual complexity in art
Bibliographic Data
| ID | 5267459 |
|---|---|
| Authors | Alex Forsythe (0000-0001-6822-7031, Aberystwyth University, corresponding author), Maria Nadal (0000-0002-9341-4688, Universitat de les Illes Balears), Noel Sheehy (Liverpool John Moores University), Camilo J Cela‐conde (Universitat de les Illes Balears), Martin Sawey (Queen's University Belfast) |
| Year | 2011 |
| Volume | 102 |
| Issue | 1 |
| Pages | 49-70 |
| Publication date | 2011-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0007-1269 • E-ISSN: 2044-8295 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1348/000712610x498958 |
| PMID | 21241285 |
| OpenAlex | W2133194870 |
| Language | EN |
| Citations received | 18 |
| References cited | 51 |
Visual complexity has been known to be a significant predictor of preference for artistic works for some time. The first study reported here examines the extent to which perceived visual complexity in art can be successfully predicted using automated measures of complexity. Contrary to previous findings the most successful predictor of visual complexity was Gif compression. The second study examined the extent to which fractal dimension could account for judgments of perceived beauty. The fractal dimension measure accounts for more of the variance in judgments of perceived beauty in visual art than measures of visual complexity alone, particularly for abstract and natural images. Results also suggest that when colour is removed from an artistic image observers are unable to make meaningful judgments as to its beauty
Aesthetics · Art · Beauty · Cognitive psychology · Dimension (graph theory) · Fractal · Fractal dimension · Perception · Preference · Statistics · Variance (accounting) · Visual perception · Aesthetic Perception and Analysis · Color perception and design · Mathematics · Psychology
Differential effects of threat types on attentional processes
Painting psychosis
Differentiating the visual aesthetics of the sublime and the beautiful
Order, complexity, and aesthetic appreciation
The composition of abstract images – Differences between artists and laypersons
The aesthetic quality model
The association between aesthetic appeal and semantic distance of icons varying in concreteness
Does rated visual landscape quality match visual features? An analysis for renewable energy landscapes
Task demands determine whether shape or arousal of a stimulus modulates competition for visual working memory resources
Advanced digital methods for analysing and optimising accessibility and visibility of water for designing sustainable healthy urban environments
Healthy urban blue space design
Species diversity enhances perceptions of urban coastlines at multiple scales
The Embodied Experience of Abstract Art
Information and affective valence influence judgments of complexity, liking and understanding
Beauty
The effects of task‐irrelevant threatening stimuli on orienting‐ and executive attentional processes under cognitive load
The impact of disgust learning on memory processes for neutral stimuli
Disentangling the facilitating and hindering effects of threat-related stimuli - A visual search study
Biophilia
Novelty, complexity, and hedonic value
A standardized set of 260 pictures
The Fractal Geometry of Nature
A Mathematical Theory of Communication
Individual differences as predictors of preference in visual art
Modeling the Visual Search of Displays
Visual complexity
The Visual Environment
Effort after meaning and the hedonic value of paintings
The quantitative study of shape and pattern perception
Some Studies of Aesthetic Preference
The Construction of Jackson Pollock's Fractal Drip Paintings
Reduction of Physiological Stress Using Fractal Art and Architecture
| Citations per year | 1.5 |
|---|---|
| Citation span | 2014 - 2026 (13) |
| Highly cited | No |