title: Liking versus Complexity: Decomposing the Inverted U-curve.
abstract: The relationship between liking and stimulus complexity is commonly reported to follow an inverted U-curve. However, large individual differences among complexity preferences of participants have frequently been observed since the earliest studies on the topic. The common use of across-participant analysis methods that ignore these large individual differences in aesthetic preferences gives an impression of high agreement between individuals. In this study, we collected ratings of liking and perceived complexity from 30 participants for a set of digitally generated grayscale images. In addition, we calculated an objective measure of complexity for each image. Our results reveal that the inverted U-curve relationship between liking and stimulus complexity comes about as the combination of different individual liking functions. Specifically, after automatically clustering the participants based on their liking ratings, we determined that one group of participants in our sample had increasingly lower liking ratings for increasingly more complex stimuli, while a second group of participants had increasingly higher liking ratings for increasingly more complex stimuli. Based on our findings, we call for a focus on the individual differences in aesthetic preferences, adoption of alternative analysis methods that would account for these differences and a re-evaluation of established rules of human aesthetic preferences.
authors.affiliation: Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.
authors.forename: Yağmur
authors.initials: Y
authors.lastname: Güçlütürk
authors.affiliation: Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.
authors.forename: Richard H A H
authors.initials: RH
authors.lastname: Jacobs
authors.affiliation: Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.
authors.forename: Rob
authors.initials: R
authors.lastname: van Lier
keywords: clustering analysis; complexity; experimental aesthetics; individual differences; liking