Evidence map›Paper›PMID 42115523›Full record

ArticleBehavior research methods2026

A stroke-level large-scale database of Chinese character handwriting and the OpenHandWrite_Toolbox for handwriting research.

Zebo Xu, Shaoyun Yu, Mark Torrance, Guido Nottbusch, Nan Zhao, Zhenguang Cai

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Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zebo XuDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
Shaoyun YuDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
Mark TorrancePsychology Department, School of Social Sciences, Nottingham Trent University, Nottingham, UK.
Guido NottbuschPrimary School Education, Human Science Faculty, University of Potsdam, Potsdam, Germany.
Nan ZhaoDepartment of Translation, Interpreting and Intercultural Studies, Hong Kong Baptist University, Kowloon, Hong Kong SAR.
Zhenguang CaiDepartment of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, Hong Kong SAR. zhenguangcai@cuhk.edu.hk.

Funding

GRF grant 14613722
6 · The paper itself

Abstract

Understanding what linguistic components (e.g., phonological, semantic, and orthographic systems) modulate Chinese handwriting at the character, radical, and stroke levels remains an important yet understudied topic. Additionally, there is a lack of comprehensive tools for capturing and batch-processing fine-grained handwriting data. To address these issues, we constructed a large-scale handwriting database in which 42 Chinese speakers each handwrote 1200 characters in a handwriting-to-dictation task. Additionally, we enhanced the existing handwriting package and provided comprehensive documentation for the upgraded OpenHandWrite_Toolbox. This toolbox allows users to easily modify the experimental design, capture the stroke-level handwriting trajectory, and batch-process handwriting measurements (e.g., latency and duration). Analysis of our large-scale database indicates that orthographic predictors affect handwriting preparation and execution at the character, radical, and stroke levels. Phonological factors influence handwriting at character and radical levels. Importantly, these lexical effects demonstrate hierarchical attenuation: they were most pronounced at the character level, followed by the radical, and weakest at the stroke level. These findings demonstrate that handwriting preparation and execution at the radical and stroke levels are closely intertwined with linguistic components. This database and toolbox offer valuable resources for future psycholinguistic and neurolinguistic research on the handwriting of characters and sub-characters across different languages.

Indexed as

Databases, FactualHandwritingFemaleHumansMaleCharacterChineseDatabaseHandwritingRadicalStrokeToolbox

Identifiers

PMID42115523
PMCPMC13160981

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