While global image properties (GIPs) relate to preference ratings in many categories of
visual stimuli, this relationship is typically not seen for abstract art paintings. Using …

How do color features influence visual aesthetic experiences? This issue has been
extensively explored yet not fully understood. Previous studies have investigated human …

We recently found that luminance edges are more evenly distributed across orientations in
large subsets of traditional artworks, ie, artworks are characterized by a relatively high …

Most recent studies in experimental aesthetics have focused on the cognitive processing of
visual artworks. In contrast, the perception of formal compositional features of artworks has …

Socially assistive robots are being designed to support people's well-being in contexts such
as art therapy where human therapists are scarce, by making art together with people in an …

One of the general aims of evolutionary art research is to build a computer system capable
of creating interesting, beautiful, or creative results, including images, videos, animations …

As one of the earliest domains of aesthetics to be studied systematically, there is a sizeable
body of work on the behavioural basis and neural correlates of visual aesthetic appeal …

Curvilinearity is a perceptual feature that robustly predicts preference ratings for a variety of
visual stimuli. The predictive effect of curved/angular shape overlaps, to a large degree, with …

The aim of this work is to provide researchers from the field of aesthetics with a guideline on
working with artworks as stimuli. Empirical aesthetics research is complicated by the …

We emphasize that color composition is an important characteristic of a painting. It impacts
the auction price of a painting, but it has never been considered in previous studies on art …