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

Details

Ressource 1Download: 978-3-030-94429-2_8.pdf (686.41 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_06B5E982073D
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Title
Automated Colour Identification and Quantification in Children's Drawings of God
Title of the book
When Children Draw Gods
Author(s)
Cocco Christelle, Dandarova-Robert Zhargalma, Brandt Pierre-Yves
Publisher
Springer International Publishing
ISBN
9783030944285
9783030944292
ISSN
2367-3494
2367-3508
Publication state
Published
Issued date
2023
Peer-reviewed
Oui
Chapter
8
Pages
191-212
Language
english
Abstract
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
Yes
Create date
30/08/2023 8:06
Last modification date
31/08/2023 6:08
Usage data