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Title: Detecting handwriting errors with visual feedback in early childhood for Chinese characters
Authors: Tang, WWW
Leong, HV 
Ngai, G 
Chan, SCF 
Keywords: Learning to write
Pictographic feedback
Stroke alignment
Stroke analysis
Issue Date: 2014
Source: IDC '14 Proceedings of the 2014 Conference on Interaction Design and Children, Aarhus, Denmark, June 17 - 20, 2014, p. 273-276 How to cite?
Abstract: This paper presents KID, an interactive app on a smart device, designed to facilitate and encourage young children to learn and practice Chinese characters. It relies on pen dynamics to extract the strokes and map the written character to the proper one. The stroke orientation is also analyzed for ordering and spatial alignment features that pinpoint common errors. A visual pictorial feedback is then provided to motivate children and to arouse their interest. We iterate the prototype design and implementation upon collecting feedback from focus group interviews, from where the system is greeted with positive comments.
ISBN: 9781450322720
DOI: 10.1145/2593968.2610470
Appears in Collections:Conference Paper

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