Dynamic Typography Art Design Based on Chinese Character Structural Semantics: An AI-Assisted Approach to Emotional Poster Generation

DOI

10.2991/978-94-6239-737-8_11How to use a DOI?

Keywords

Chinese character structural semantics; dynamic typography design; emotional posters; artificial intelligence; structural-semantic mapping

Abstract

To address insufficient semantic control in dynamic typographic poster design and the distortion problems of AI-generated results, this study proposes a Chinese character structural-semantic mapping method for AI-assisted emotional poster generation. Structural-semantic features were extracted from public affective lexicons and character structure data, and then mapped to dynamic visual parameters. Based on this process, a collaborative workflow of AI generation and designer refinement was developed. A comparative experiment involving human-designed works, purely AI-generated works, and works generated by the proposed method was conducted. User evaluation and statistical analysis show that the proposed method achieved better semantic communication efficiency, emotional arousal, accuracy, and response time than the pure AI generation group, while maintaining aesthetic tension close to human-designed works. The proposed method offers an interpretable and controllable approach to Chinese dynamic typography design.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiahui Wang
AU  - Na Wang
AU  - Maowei Qian
AU  - Shengnan Wu
PY  - 2026
DA  - 2026/08/18
TI  - Dynamic Typography Art Design Based on Chinese Character Structural Semantics: An AI-Assisted Approach to Emotional Poster Generation
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 68
EP  - 73
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_11
DO  - 10.2991/978-94-6239-737-8_11
ID  - Wang2026
ER  -