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Research on the Application of Artificial Intelligence Technology in Color Matching in Product Appearance and Function Design
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Chi | - |
| dc.contributor.author | Gu, Wanli | - |
| dc.contributor.author | Gu, Yan | - |
| dc.contributor.author | Geng, Changyuan | - |
| dc.contributor.author | Kim, Duk-hwan | - |
| dc.date.accessioned | 2025-12-16T08:00:10Z | - |
| dc.date.available | 2025-12-16T08:00:10Z | - |
| dc.date.issued | 2025-11 | - |
| dc.identifier.issn | 1751-8806 | - |
| dc.identifier.issn | 1751-8814 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/81298 | - |
| dc.description.abstract | In the context of intensified market competition, consumer demand for aesthetically pleasing and functionally designed products has grown significantly. Color matching in product appearance plays a critical role in influencing consumer choice. However, designers often face challenges related to low color recognition accuracy, which hampers efficiency and design quality. This study explores the application of artificial intelligence (AI) technology to assist in the color matching process of product appearance and functional design. Experimental evaluation across various product types demonstrates that AI integration improves color accuracy by 2.09% and enhances the stability of image representation by 3.47%. Additionally, it reduces design analysis time, increases designer productivity, and boosts satisfaction scores by 5.4%. The findings confirm that AI technology effectively supports designers in achieving more accurate, efficient, and satisfactory color matching outcomes. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Institution of Engineering and Technology | - |
| dc.title | Research on the Application of Artificial Intelligence Technology in Color Matching in Product Appearance and Function Design | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1049/sfw2/4103554 | - |
| dc.identifier.scopusid | 2-s2.0-105022431698 | - |
| dc.identifier.wosid | 001618422100001 | - |
| dc.identifier.bibliographicCitation | IET Software, v.2025, no.1 | - |
| dc.citation.title | IET Software | - |
| dc.citation.volume | 2025 | - |
| dc.citation.number | 1 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
| dc.subject.keywordAuthor | AI technology | - |
| dc.subject.keywordAuthor | color matching | - |
| dc.subject.keywordAuthor | design quality | - |
| dc.subject.keywordAuthor | designer productivity | - |
| dc.subject.keywordAuthor | product appearance | - |
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