Gestalts Relate Aesthetic Preferences to Perceptual Analysis

Project description

Providing the missing link between objective and subjective aesthetics

The perception of beauty is something very personal, and for this reason the concept has not been researched enough. There are two main approaches to understanding aesthetics. One concerns statistical properties that are supposed to be universal and biologically determined. The other involves concepts such as style, meaning and personal associations that are dependent on cultural influences, art expertise and individual experiences. The EU-funded GRAPPA project will apply Gestalt psychology to develop and test a hypothesis that bridges the two. Machine learning will analyse new data from online studies with large samples of images and participants. This will result in a model that predicts aesthetic preference.

Fields of science

• engineering and technology › materials engineering › colors
• humanities › arts › visual arts
• natural sciences › computer and information sciences › computational science
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• HORIZON.1.1 - European Research Council (ERC) Main Programme

Topic(s)

• ERC-2021-ADG - ERC ADVANCED GRANTS

Call for proposal

ERC-2021-ADG

See other projects for this call

Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN

Net EU contribution

€ 2 497 701,00

Address

Oude Markt 13
3000 Leuven
Belgium

Region

Vlaams Gewest › Prov. Vlaams-Brabant › Arr. Leuven

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00