Statistical image properties and aesthetic judgments on abstract paintings by Robert Pepperell.

ABSTRACT: In this exploratory study, we asked whether objective statistical image properties can predict subjective aesthetic ratings for a set of 48 abstract paintings created by the artist Robert Pepperell. Ruta and colleagues (2021) used the artworks previously to study the effect of curved/angular contour on liking and wanting decisions. We related a predefined set of statistical image properties to the eight different dimensions of aesthetic judgments from their study. Our results show that the statistical image properties can predict a large portion of the variance in the different aesthetic judgments by Ruta and colleagues. For example, adjusted R2 values for liking, attractiveness, visual comfort, and approachability range between 0.52 and 0.60 in multiple linear regression models with four

SUBMITTER: Redies C 

PROVIDER: S-EPMC10241310 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature