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.

Subsidie
€ 2.497.701
2022

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

Startdatum1-10-2022
Einddatum30-9-2027
Subsidiejaar2022

Partners & Locaties

Projectpartners

  • KATHOLIEKE UNIVERSITEIT LEUVENpenvoerder

Land(en)

Belgium

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