Automated Colour Identification and Quantification in Children's Drawings of God

Détails

Ressource 1Télécharger: 978-3-030-94429-2_8.pdf (686.41 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_06B5E982073D
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
Automated Colour Identification and Quantification in Children's Drawings of God
Titre du livre
When Children Draw Gods
Auteur⸱e⸱s
Cocco Christelle, Dandarova-Robert Zhargalma, Brandt Pierre-Yves
Editeur
Springer International Publishing
ISBN
9783030944285
9783030944292
ISSN
2367-3494
2367-3508
Statut éditorial
Publié
Date de publication
2023
Peer-reviewed
Oui
Numéro de chapitre
8
Pages
191-212
Langue
anglais
Résumé
Colour is still a relatively neglected aspect in the study both of religious art and of children’s artistic expression of the divine. Our research addresses this important gap and adds to psychological research on religious representations and conceptualization of the divine. From drawings collected in four different cultural and religious environments: Japanese (Buddhism and Shinto), Russian-Buryat (Buddhism, Shamanism), Russian-Slavic (Christian Orthodoxy) and French-speaking Swiss (Catholic and reformed Christianity) we show that children often imagine and depict god using the same colours: primarily yellow and blue. Apparently, god is often imagined by children as light or in light (yellow) and dwelling in the sky (blue). These results parallel historical and religious studies showing that the light enjoys prominent and most powerful symbolism and association with the divine. Complementary analysis of possible effect of child’s age, gender, and schooling (religious or regular) did not affect the main result. This research also introduced a novel approach to data analysis by using computer vision in psychological studies of children’s drawings. The automated colour identification method was developed to extract colours from scans of drawings. Despite some difficulties, this new methodology opens an interesting avenue for future research in children’s drawings and visual art.
Open Access
Oui
Création de la notice
30/08/2023 9:06
Dernière modification de la notice
31/08/2023 7:08
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