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

IF 1.4 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
IET Software Pub Date : 2025-11-19 DOI:10.1049/sfw2/4103554
Chi Zhang, Wanli Gu, Yan Gu, Changyuan Geng, Duk-hwan Kim
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引用次数: 0

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.

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Abstract Image

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人工智能技术在产品外观与功能设计配色中的应用研究
在市场竞争加剧的背景下,消费者对美观和功能设计产品的需求显著增长。产品外观的配色对消费者的选择起着至关重要的作用。然而,设计师经常面临与颜色识别精度低相关的挑战,这阻碍了效率和设计质量。本研究探讨人工智能(AI)技术在产品外观与功能设计配色过程中的辅助应用。不同产品类型的实验评估表明,人工智能集成后的颜色精度提高了2.09%,图像表示的稳定性提高了3.47%。此外,它减少了设计分析时间,提高了设计师的工作效率,并将满意度分数提高了5.4%。研究结果证实,人工智能技术有效地支持设计师实现更准确、高效和令人满意的配色结果。
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来源期刊
IET Software
IET Software 工程技术-计算机:软件工程
CiteScore
4.20
自引率
0.00%
发文量
27
审稿时长
9 months
期刊介绍: IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf
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