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Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis

Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analys...

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Autores principales: Beermann, Ursula, Hosoya, Georg, Schindler, Ines, Scherer, Klaus R., Eid, Michael, Wagner, Valentin, Menninghaus, Winfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194692/
https://www.ncbi.nlm.nih.gov/pubmed/34122259
http://dx.doi.org/10.3389/fpsyg.2021.667173
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author Beermann, Ursula
Hosoya, Georg
Schindler, Ines
Scherer, Klaus R.
Eid, Michael
Wagner, Valentin
Menninghaus, Winfried
author_facet Beermann, Ursula
Hosoya, Georg
Schindler, Ines
Scherer, Klaus R.
Eid, Michael
Wagner, Valentin
Menninghaus, Winfried
author_sort Beermann, Ursula
collection PubMed
description Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets (features) which represent five components of the emotion process (appraisal, bodily reactions, action tendencies, expression, and feelings). The aims here were (a) to determine the dimensionality of the GRID features when applied to aesthetic emotions and compare it to published results for emotion terms in general, and (b) to examine the internal organization of the domain of aesthetic emotion terms in order to identify salient clusters of these items based on the similarity of their feature profiles on the GRID. Exploratory Principal Component Analyses suggest a four-dimensional structure of the semantic space consisting of valence, power, arousal, and novelty, converging with earlier GRID studies on large sets of standard emotion terms. Using cluster analyses, 15 clusters of aesthetic emotion terms with similar GRID feature profiles were identified, revealing the internal organization of the aesthetic emotion terms domain and meaningful subgroups of aesthetic emotions. While replication for further languages is required, these findings provide a solid basis for further research and methodological development in the realm of aesthetic emotions.
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spelling pubmed-81946922021-06-12 Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis Beermann, Ursula Hosoya, Georg Schindler, Ines Scherer, Klaus R. Eid, Michael Wagner, Valentin Menninghaus, Winfried Front Psychol Psychology Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets (features) which represent five components of the emotion process (appraisal, bodily reactions, action tendencies, expression, and feelings). The aims here were (a) to determine the dimensionality of the GRID features when applied to aesthetic emotions and compare it to published results for emotion terms in general, and (b) to examine the internal organization of the domain of aesthetic emotion terms in order to identify salient clusters of these items based on the similarity of their feature profiles on the GRID. Exploratory Principal Component Analyses suggest a four-dimensional structure of the semantic space consisting of valence, power, arousal, and novelty, converging with earlier GRID studies on large sets of standard emotion terms. Using cluster analyses, 15 clusters of aesthetic emotion terms with similar GRID feature profiles were identified, revealing the internal organization of the aesthetic emotion terms domain and meaningful subgroups of aesthetic emotions. While replication for further languages is required, these findings provide a solid basis for further research and methodological development in the realm of aesthetic emotions. Frontiers Media S.A. 2021-05-28 /pmc/articles/PMC8194692/ /pubmed/34122259 http://dx.doi.org/10.3389/fpsyg.2021.667173 Text en Copyright © 2021 Beermann, Hosoya, Schindler, Scherer, Eid, Wagner and Menninghaus. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Beermann, Ursula
Hosoya, Georg
Schindler, Ines
Scherer, Klaus R.
Eid, Michael
Wagner, Valentin
Menninghaus, Winfried
Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title_full Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title_fullStr Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title_full_unstemmed Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title_short Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis
title_sort dimensions and clusters of aesthetic emotions: a semantic profile analysis
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194692/
https://www.ncbi.nlm.nih.gov/pubmed/34122259
http://dx.doi.org/10.3389/fpsyg.2021.667173
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