Abstract

Aesthetic emotions are defined as emotions arising when a person evaluates a stimulus for its aesthetic appeal. Whether these emotions are unique to aesthetic activities is debated. We address this debate by examining if recollections of different types of engaging activities entail different emotional profiles. A large sample of participants were asked to recall engaging aesthetic (N = 167), non-aesthetic (N = 160), or consumer (N = 172) activities. They rated the extent to which 75 candidate aesthetic emotions were evoked by these activities. We applied a computational psychometric network approach to represent and compare the space of these emotions across the three conditions. At the behavioral level, recalled aesthetic activities were rated as the least vivid but most intense compared to the two other conditions. At the network level, we found several quantitative differences across the three conditions, related to the typology, community (clusters) and core nodes (emotions) of these networks. Our results suggest that aesthetic and non-aesthetic activities evoke emotional spaces differently. Thus, we propose that aesthetic emotions are distributed differently in a multidimensional aesthetic space than for other engaging activities. Our results highlight the context-specificity of aesthetic emotions.

Details

Title
Aesthetic emotions are affected by context: a psychometric network analysis
Author
Kenett, Yoed N. 1   VIAFID ORCID Logo  ; Cardillo, Eileen R. 2 ; Christensen, Alexander P. 3   VIAFID ORCID Logo  ; Chatterjee, Anjan 2   VIAFID ORCID Logo 

 Technion – Israel Institute of Technology, Faculty of Data and Decision Sciences, Haifa, Israel (GRID:grid.6451.6) (ISNI:0000 0001 2110 2151) 
 University of Pennsylvania, Penn Center for Neuroaesthetics, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972) 
 Vanderbilt University, Department of Psychology and Human Development, Peabody College, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217) 
Pages
20985
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2894594105
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.