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When Oriental Aesthetics Meets AI: The Potential of Kansei Engineering in Multimodal GUI Narratives of Chinese Cultural Identity

Rui Li

Abstract


This study explores how Kansei engineering can empower the narrative capacity of AI-generated Graphical User Interfaces rooted
in Chinese cultural aesthetics. As generative AI platforms reshape creative processes, the design of culturally resonant and emotionally engaging interfaces has become critical for effective digital storytelling. Drawing from Kansei (Kansei) engineering, East Asian aesthetic principles,
and prompt engineering practices, this paper constructs a multimodal discourse model for GUI design. Through prompt lexicon analysis and
GUI case studies, it proposes a framework for human-AI co-creation that facilitates global dissemination of Chinese narratives.

Keywords


Kansei engineering; GUI design; AI prompting; Chinese aesthetics; Multimodal narrative; Cultural interface

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References


[1] Igarashi, T., Nagamachi, M. (1995). Kansei engineering: A new ergonomic consumer-oriented technology for product development. International Journal of Industrial Ergonomics, 15(1), 311.

[2] Jakesch, M., French, M., Ma, X., & Hancock, J. T. (2023). Prompt engineering and creative control: How users shape and evaluate AIgenerated art. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 115.

[3] Liu, Y., Qian, H. (2021). Cultural semiotics in interface design: A Chinese aesthetic perspective. International Journal of Design, 15(1),

4556.

[4] Manovich, L. (2020). AI aesthetics and the future of visual storytelling. AI & Society, 35(4), 867878.

[5] Zhu, J., Gao, Y. (2023). Generative AI in design education: Affordances, challenges, and future pathways. Design Studies, 79, 101123.




DOI: http://dx.doi.org/10.70711/rcha.v3i6.7609

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