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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
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Title Research on Methodology for How to Build Generative AI Prompts Based on Product Modeling Language in Lighting Design
Authors Sung-Min Ma ; Chul-Soo Kim
DOI http://doi.org/10.5207/JIEIE.2024.38.5.335
Page pp.335-339
ISSN 1225-1135
Keywords CMF; Design archive; Generative AI; Lighting products; Midjourney; Product modeling language; Space modeling language; User experience
Abstract In order to build a modeling language for lighting products, this study uses 40 TRIZ principles that can be used to resolve contradictions that arise when solving TRIZ problems in combination with 50 formative expansion keywords and applies them to the process of establishing a formative language for lighting products, thereby achieving innovation. We plan to build an archive of various formative languages for realistic and creative design and study ways to use it as prompt data for lighting design using Midjourny, a generative AI design tool.