Effect of colour sensing and drawing pen on children’s colour perception and feature detection of objects when drawing
Chih-Kai Sung,
Pei-Jung Cheng and
Li-Chieh Chen
Behaviour and Information Technology, 2023, vol. 42, issue 9, 1311-1323
Abstract:
Commercial digital drawing pens have incorporated color sensing capabilities to improve the interactive experience of drawing. However, despite these improvements, it remains unclear whether color sensing and picking functions improve drawing learning performance. This study observed third and fourth grade elementary school students, who were in the “dawning realism” stage of artistic development, to determine how using a digital drawing pen with a color sensing function affected their color perception and feature detection abilities. This study analyzed quantitative data on color choice, with some students directly picking colors from the surface of an object and other students choosing colors from the app's default palette. This study also interviewed a focus group of experts who compared between the two aforementioned methods of choosing colors, as used in drawings. The results revealed the following advantages of using a digital drawing pen to directly pick colors off object surfaces: (1) children better utilize and depict the color gradient; (2) children interact with and observe objects and their shapes more thoroughly; (3) children draw objects' shapes and colors more precisely; and (4) children, being in the dawning realism stage, are better able to satisfy their need to perceive the colors and features of objects.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2022.2071764 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:42:y:2023:i:9:p:1311-1323
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2022.2071764
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().