构建中文汉字书写数据库与工具箱,支持逐笔级分析。
A Stroke-Level Large-Scale Database of Chinese Character Handwriting and the OpenHandWrite_Toolbox for Handwriting Research
- 收集42人书写1200个汉字的逐笔轨迹数据,支持多层次分析。
- 发现字形因素对书写准备和执行影响最显著,语音因素次之。
- 适合语言认知、神经语言学及手写行为研究者使用。
理解语音、语义和字形等语言成分如何在汉字、部件和笔画层面影响书写行为,仍是未充分研究的重要课题。同时,缺乏能够捕捉并批量处理细粒度手写数据的综合性工具。为此,我们构建了一个大规模手写数据库,包含42名参与者每人书写1200个汉字的书写-口述任务数据。同时,升级了现有手写处理包,推出功能完整的OpenHandWrite_Toolbox,可灵活调整实验设计,精准捕获逐笔书写轨迹,并批量处理书写测量指标(如延迟、时长、笔压)。基于该数据库的多重回归分析显示,字形预测因子在字符、部件和笔画三个层级均显著影响书写准备与执行;语音因素在三者中均有影响。值得注意的是,这些词汇效应呈层级衰减:在字符层级最明显,其次为部件,笔画层级最弱。结果表明,部件与笔画层级的书写准备与执行紧密关联于语言成分。该数据库与工具箱为未来跨语言汉字及子字符书写的心理语言学与神经语言学研究提供了宝贵资源。
原文摘要 · Abstract (English)
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 for each handwriting 1200 characters in a handwriting-to-dictation task. Additionally, we enhanced the existing handwriting package and provided comprehensive documentation for the upgraded OpenHandWrite_Toolbox, which can easily modify the experimental design, capture the stroke-level handwriting trajectory, and batch-process handwriting measurements (e.g., latency, duration, and pen-pressure). In analysing our large-scale database, multiple regression results show that orthographic predictors impact handwriting preparation and execution across character, radical, and stroke levels. Phonological factors also influence execution at all three levels. Importantly, these lexical effects demonstrate hierarchical attenuation - they were most pronounced at the character level, followed by the radical, and were weakest at the stroke levels. 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.
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