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Research on the Application of Artificial Intelligence Technology in Color Matching in Product Appearance and Function Design

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dc.contributor.authorZhang, Chi-
dc.contributor.authorGu, Wanli-
dc.contributor.authorGu, Yan-
dc.contributor.authorGeng, Changyuan-
dc.contributor.authorKim, Duk-hwan-
dc.date.accessioned2025-12-16T08:00:10Z-
dc.date.available2025-12-16T08:00:10Z-
dc.date.issued2025-11-
dc.identifier.issn1751-8806-
dc.identifier.issn1751-8814-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/81298-
dc.description.abstractIn 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.language영어-
dc.language.isoENG-
dc.publisherInstitution of Engineering and Technology-
dc.titleResearch on the Application of Artificial Intelligence Technology in Color Matching in Product Appearance and Function Design-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1049/sfw2/4103554-
dc.identifier.scopusid2-s2.0-105022431698-
dc.identifier.wosid001618422100001-
dc.identifier.bibliographicCitationIET Software, v.2025, no.1-
dc.citation.titleIET Software-
dc.citation.volume2025-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordAuthorAI technology-
dc.subject.keywordAuthorcolor matching-
dc.subject.keywordAuthordesign quality-
dc.subject.keywordAuthordesigner productivity-
dc.subject.keywordAuthorproduct appearance-
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