Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

It is an open question whether preferences for visual art can be lawfully predicted from the
basic constituent elements of a visual image. Here, we developed and tested a …

Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …

As artificial intelligence (AI) technology increasingly becomes a feature of everyday life, it is
important to understand how creative acts, regarded as uniquely human, can be valued if …

In this work, I propose a model of visual aesthetic experience that combines formalist and
contextual aspects of aesthetics. The model distinguishes between two modes of …

The relationship between liking and stimulus complexity is commonly reported to follow an
inverted U-curve. However, large individual differences among complexity preferences of …

Neuroaesthetics is a rapidly developing interdisciplinary field of research that aims to
understand the neural substrates of aesthetic experience: While understanding aesthetic …

Humans are inherently evaluative beings whose affective system is predisposed to
continuously and efficiently produce spontaneous preferences regarding surrounding …

Affective pictures are widely used in studies of human emotions. The objects or scenes
shown in affective pictures play a pivotal role in eliciting particular emotions. However …

For centuries, oil paintings have been a major segment of the visual arts. The JenAesthetics
data set consists of a large number of high-quality images of oil paintings of Western …