Gestalts Relate Aesthetic Preferences to Perceptual Analysis
This project aims to link aesthetic preferences to perceptual analysis by investigating how sensory organization influences taste, using machine learning and empirical studies in art and everyday images.
Projectdetails
Introduction
"""De gustibus et coloribus non disputandum est."" With this slogan, philosophers and lay people alike have dismissed all attempts to understand taste, color perception, or aesthetic preferences. Sense of beauty may just be too individual and too complex to qualify as a target of scientific inquiry.
Background
Yet, since Fechner (1876), empirical aesthetics has studied the factors determining people's aesthetic responses to artworks and objects, scenes, or events encountered in everyday life. Most accounts focus either on high-level concepts such as style, meaning, and personal associations, or on low-level statistical properties.
High-Level vs Low-Level Concepts
While the latter are supposed to be universal and biologically determined, the former are subject to cultural influences, art expertise, and individual experiences. Progress in this tradition has reached its limits, which this project overcomes by investigating how Gestalts Relate Aesthetic Preferences to Perceptual Analysis (GRAPPA).
Research Hypothesis
Its pioneering working hypothesis is that the way perceivers organize their sensory inputs into meaningful entities (Gestalts) provides the missing link between the two traditional sets of explanations. This hypothesis is fleshed out and tested in a coherent research program linking aesthetic preferences for images of paintings and everyday photographs to general principles of perceptual organization as well as to specific aesthetic concepts like composition, balance, and visual rightness.
Methodology
New data from online studies with large samples of images and participants will be analyzed with state-of-the-art computational methods (machine learning) to reveal the critical mid-level factors. This will yield a model to predict aesthetic preference, which will be tested in well-controlled psychophysical and behavioral experiments (e.g., eye-movement recording) and validated also in ecologically richer settings (e.g., in galleries and art museums) and in unconventional cross-over collaborations with contemporary artists.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.497.701 |
Totale projectbegroting | € 2.497.701 |
Tijdlijn
Startdatum | 1-10-2022 |
Einddatum | 30-9-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- KATHOLIEKE UNIVERSITEIT LEUVENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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STUFF aims to uncover how we perceive and interact with various materials by integrating methods from psychology, neuroscience, and computer science to enhance our understanding of material properties.
Things for Politics' Sake: Aesthetic Objects and Social Change
THINGSTIGATE explores how aesthetic objects influence sociopolitical transformation through imagination and emotions, using interdisciplinary methods to assess their role in social change.
The Philosophy of Experiential Artifacts
The PEA project redefines art as experiential artifacts linked to technology, exploring their role in enriching human experiences through a multidisciplinary philosophical approach.
How EXPectation and ATtention shape visual information processing in the human brain
EXPAT aims to uncover how expectation and attention influence visual information encoding in the human brain using advanced neuroimaging and analytical techniques.
A theory and model of the neural transformations mediating human object perception
TRANSFORM aims to develop a predictive model and theory of neural transformations for object perception by integrating brain imaging, mathematical analysis, and computational modeling.