ReviewFrontiers in computational neuroscience2017
Computational and Experimental Approaches to Visual Aesthetics.
Review in Frontiers in computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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Who cites it
29 citing papers in PubMed, 98 citations in OpenAlex.
- Unveiling the factors of aesthetic preferences with explainable AI.British journal of psychology (London, England : 1953) · 2026Article
- The Minimum Semantic Content (MSC) Dataset: A Large, Balanced Resource for Computational Aesthetics Research.Scientific data · 2026Article
- How generative AI shapes designers' cultural heritage revitalization intention: process and content cues in AI-assisted cultural heritage design.Frontiers in psychology · 2026Article
- Cross domain consistency of aesthetic preference-driven social behavior.Frontiers in neural circuits · 2026Article
- Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization.Scientific reports · 2025Article
- Aesthetic Judgment in Calligraphic Tracing: The Dominant Role of Dynamic Features.Behavioral sciences (Basel, Switzerland) · 2025Article
- A toolbox for calculating quantitative image properties in aesthetics research.Behavior research methods · 2025Article
- Scaling in branch thickness and the fractal aesthetic of trees.PNAS nexus · 2025Article
- The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Brain's geometries for movements and beauty judgments. A contribution of topos geometries.Frontiers in psychology · 2025Article
- Article
- How deep is your art: An experimental study on the limits of artistic understanding in a single-task, single-modality neural network.PloS one · 2024Article
- Sparsity in an artificial neural network predicts beauty: Towards a model of processing-based aesthetics.PLoS computational biology · 2023Article
- Chromatic and spatial image statistics predict infants' visual preferences and adults' aesthetic preferences for art.Journal of vision · 2023Article
- Statistical image properties and aesthetic judgments on abstract paintings by Robert Pepperell.Journal of vision · 2023Article
- Comparative Analysis of Preference in Contemporary and Earlier Texts Using Entropy Measures.Entropy (Basel, Switzerland) · 2023Article
- Predicting the aesthetics of dynamic generative artwork based on statistical image features: A time-dependent model.PloS one · 2023Article
- WikiArtVectors: Style and Color Representations of Artworks for Cultural Analysis via Information Theoretic Measures.Entropy (Basel, Switzerland) · 2022Article
- Approximate Entropy in Canonical and Non-Canonical Fiction.Entropy (Basel, Switzerland) · 2022Article
- Statistical image properties predict aesthetic ratings in abstract paintings created by neural style transfer.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aesthetics has been the subject of long-standing debates by philosophers and psychologists alike. In psychology, it is generally agreed that aesthetic experience results from an interaction between perception, cognition, and emotion. By experimental means, this triad has been studied in the field of
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Registered trials
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.