Shared Meaning in Children's Evaluations of Art: A Computational Analysis

Art appreciation is often considered highly individual, but research has shown that there is also a shared element, which may be due to shared meanings and associations triggered by artworks. In the current analysis, we examined semantically based justifications given to aesthetic evaluations of abs...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Psychology of aesthetics, creativity, and the arts creativity, and the arts, 2018-11, Vol.12 (4), p.440-452
Hauptverfasser: Schepman, Astrid, Kirkham, Julie Ann, Rodway, Paul, Lambert, Jordana, Locke, Anastasia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Art appreciation is often considered highly individual, but research has shown that there is also a shared element, which may be due to shared meanings and associations triggered by artworks. In the current analysis, we examined semantically based justifications given to aesthetic evaluations of abstract and representational artworks provided by 80 primary schoolchildren, aged 4, 5, 8, and 10 years. Using a computational semantic similarity analysis technique (UMBC Ebiquity), the authors found that children showed evidence for shared meaning in response to representational but not abstract art. The effect was present from age 4 through to age 10. In addition, it was found that the presence of semantic elements in the justifications boosted aesthetic appreciation, especially of abstract artworks. This suggests that individually constructed meaning is key to aesthetic appreciation and is, to an extent, independent from the meaning that might be assumed to be inherent in artworks, particularly if it is representational. The authors evaluate their findings in relation to aesthetic and developmental theories and make suggestions for future research. They argue that the current data, alongside calibrating analyses that apply their randomization and semantic analysis protocol to children's picture naming responses, further demonstrate the robustness of the computational semantic similarity analysis method, with great potential for further studies in semantic interpretation of art or other types of stimuli.
ISSN:1931-3896
1931-390X
DOI:10.1037/aca0000159