Dataset Information

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.

SUBMITTER: Gucluturk Y

PROVIDER: S-EPMC4796011 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Liking versus Complexity: Decomposing the Inverted U-curve.

Güçlütürk Yağmur Y Jacobs Richard H A H RH van Lier Rob R

Frontiers in human neuroscience 20160318

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 per ...[more]

PMID: 27047359

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Dataset Information

Liking versus Complexity: Decomposing the Inverted U-curve.

Publications

Liking versus Complexity: Decomposing the Inverted U-curve.

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