Teaching Chinese Handwriting by Automatic Feedback and Analysis for Incorrect Stroke Sequence and Stroke Production Errors

Authors:
Kai-Tai Tang;Howard Leung
Affiliations:
Department of Computer Science, City University of Hong Kong, Hong Kong SAR, howard@cityu.edu.hk;Department of Computer Science, City University of Hong Kong, Hong Kong SAR, howard@cityu.edu.hk
Venue:
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Year:
2006

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Abstract

Writing Chinese character is not trivial and people often commit stroke sequence error and stroke production errors. In this paper, we propose a web-based education system which allows users to practice Chinese handwriting freely. An Automatic Feedback and Analysis (AFA) tool is introduced to the system which can automatically check both the stroke sequence errors and stroke production errors by analyzing the online data of the learner's input character. Feedback will be provided if the learner commits errors in the stroke sequence and/or during stroke production. Experimental results demonstrated that our method can check multiple handwriting errors with encouraging accuracy. User studies showed that the learning time is shorter if our proposed system is used.