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图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (2): 348-355.DOI: 10.11996/JG.j.2095-302X.2022020348

• 工业设计 • 上一篇    下一篇

汉字字体笔画形态与情感意象的关系模型

  

  1. 1. 兰州理工大学设计艺术学院，甘肃 兰州 730050；
    2. 兰州空间技术物理研究所，甘肃 兰州 730000
  • 出版日期:2022-04-30 发布日期:2022-05-07
  • 基金资助:
    甘肃省自然科学基金项目(20JR10RA168)；甘肃省高等学校创新基金项目(2021A-020)

Relationship model between Chinese character font stroke shape and emotional image

  1. 1. School of Design Art, Lanzhou University of Technology, Lanzhou Gansu 730050, China;
    2. Lanzhou Institute of Space Technical Physics, Lanzhou Gansu 730000, China
  • Online:2022-04-30 Published:2022-05-07
  • Supported by:
    National Science Foundation of Gansu Province(20JR10RA168); University Innovation Fund Project of Gansu Province (2021A-020)

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摘要： 为了揭示汉字字体形态特征与受众情感意象之间的内在关系，从视觉认知的角度出发，探索性
地提出一种汉字字体笔画形态与情感意象的关系模型。首先，利用形态分析法对汉字字体笔画形态设计要素进
行分析、梳理，构建字体笔画形态设计要素项目与类目表；然后，运用 K 均值聚类算法筛选出代表性的情感意
象词汇，通过语意差分法制作调查问卷，得到各字体样本的情感意象评分；最后，运用多元线性回归方法建立
字体笔画形态设计要素与情感意象的关系模型。从表达式的系数中可分析出各形态特征要素对情感意象的影响
程度，该模型为汉字字体设计的意象定位及研究提供一种新的思路和方法。将该模型的结论应用于汉字字体设
计实践中，结果表明，该方法具有良好的可行性与可靠性。

关键词: 汉字字体, 形态, 感性工学, 意象, 多元线性回归

Abstract: In order to reveal the internal relationship between the morphological features of Chinese characters and the
emotional images of the audience, a relationship model between the morphological features of Chinese characters and
the emotional image was proposed from the perspective of visual cognition. First, the design elements of Chinese
character font stroke shape were analyzed to construct its project and category table using the morphological analysis
method. Then, the K-means clustering algorithm was employed to select the representative emotional image words,
and a semantic difference (SD) questionnaire was issued to obtain the emotional image scores for each font sample.
Finally, the multiple linear regression method was used to establish the relationship model between the design
elements of font stroke shape and emotional images. From the coefficient of the expression, the influence of each
morphological feature element on the emotional images can be analyzed. The model can provide technical support for
the image positioning of Chinese character font design, and provide a new idea and method for the relevant research.
It is applicable to the practice in the field, and the results show that the method is of high feasibility and reliability.

Key words: Chinese characters, morphology, kansei engineering, image, multiple linear regression

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