Detecting handwriting errors with visual feedback in early childhood for Chinese characters

Will W W Tang; Hong Va Leong; Grace Ngai; Stephen C F Chan

doi:10.1145/2593968.2610470

Detecting handwriting errors with visual feedback in early childhood for Chinese characters

Will W W Tang, Hong Va Leong, Grace Ngai, Stephen C F Chan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	IDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children
Publisher	Association for Computing Machinery
Pages	273-276
Number of pages	4
ISBN (Print)	9781450322720
DOIs	https://doi.org/10.1145/2593968.2610470
Publication status	Published - 1 Jan 2014
Event	13th International Conference on Interaction Design and Children, IDC 2014 - Aarhus, Denmark Duration: 17 Jun 2014 → 20 Jun 2014

Conference

Conference	13th International Conference on Interaction Design and Children, IDC 2014
Country/Territory	Denmark
City	Aarhus
Period	17/06/14 → 20/06/14

Keywords

Learning to write
Pictographic feedback
Stroke alignment
Stroke analysis

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

More information

10.1145/2593968.2610470

Cite this

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title = "Detecting handwriting errors with visual feedback in early childhood for Chinese characters",

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.",

keywords = "Learning to write, Pictographic feedback, Stroke alignment, Stroke analysis",

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booktitle = "IDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children",

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Tang, WWW, Leong, HV , Ngai, G & Chan, SCF 2014, Detecting handwriting errors with visual feedback in early childhood for Chinese characters. in IDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children. Association for Computing Machinery, pp. 273-276, 13th International Conference on Interaction Design and Children, IDC 2014, Aarhus, Denmark, 17/06/14. https://doi.org/10.1145/2593968.2610470

Detecting handwriting errors with visual feedback in early childhood for Chinese characters. / Tang, Will W W; Leong, Hong Va ; Ngai, Grace et al.
IDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children. Association for Computing Machinery, 2014. p. 273-276.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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KW - Pictographic feedback

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BT - IDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children

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T2 - 13th International Conference on Interaction Design and Children, IDC 2014

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ER -

Detecting handwriting errors with visual feedback in early childhood for Chinese characters

Abstract

Conference

Keywords

ASJC Scopus subject areas

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