Dynamic Evolution of Product Color Kansei Design Based on the Knowledge Graph

WU Tianyu; XU Wei

doi:10.19798/j.cnki.2096-6946.2026.02.007

PDF(6180 KB)

Industrial & Engineering Design ›› 2026, Vol. 8 ›› Issue (2) : 56-65. DOI: 10.19798/j.cnki.2096-6946.2026.02.007

Design Innovation and Application

Dynamic Evolution of Product Color Kansei Design Based on the Knowledge Graph

WU Tianyu¹, XU Wei^2,*

Author information +

History +

Abstract

The work aims to clarify the research status and key hotspots of product color Kansei design and summarize the practical application process of product color Kansei design. The bibliometric tool, Citespace, was employed to conduct a knowledge map analysis of 682 literature entries on product color Kansei design from the CNKI database. The spatiotemporal distribution of research on product color Kansei design is sorted out systematically and its current research status is clarified. With clustering algorithms, visual maps of research themes are obtained. Based on keyword co-occurrence frequency and betweenness centrality index, an in-depth analysis of research hotspots is conducted around the three themes constituting product color Kansei design: color symbol perception, color semantic cognition, and color emotional experience, and a dynamic evolution mechanism of product color perceptual design is constructed. The results show that the spatiotemporal distribution and cooperation co-occurrence density among different research institutions are uneven. Research hotspots focus on guiding the practice of product color design based on Kansei engineering theory, integrated with technical methods such as mathematical calculation, experimental measurement, and intelligent algorithms. Meanwhile, the mechanism indicates that the mixed research model combining Kansei design thinking with quantitative analysis methods and artificial intelligence technology has become an important approach for the innovative research and development of product color Kansei design.

Key words

product color design / Kansei engineering / knowledge graph / dynamic evolution mechanism / visual analysis

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WU Tianyu, XU Wei. Dynamic Evolution of Product Color Kansei Design Based on the Knowledge Graph[J]. Industrial & Engineering Design. 2026, 8(2): 56-65 https://doi.org/10.19798/j.cnki.2096-6946.2026.02.007

References

[1] 姬勇,王丽静. 促进产品可用性的色彩造型设计[M]. 北京:北京理工大学出版社,2019.
[2] LIU W,LI J,RONG H,et al.Constructing a Mathematical Model of Product Color Design Based on Data Mining:Case Study of a Thermos Cup[J]. Coatings,2024,14(2):209.
[3] BING Y,YU L Y,LI S B,et al.A Novel Product Shape Innovation Design Method Based on Kansei Engineering and GAN Model with Limited Sample Data[J]. Journal of Engineering Design,2026,37(3):981-1006.
[4] LEE A S.Investigation of Relationship Between Kansei Design Elements of Taiwanese Wooden Furniture and Consumer Demand by Fuzzy Theory[J]. Engineering Proceedings,2023,38(1):64.
[5] YU W L,ZHANG L P,YANG C.The Impact of the Digital Economy on Enterprise Innovation Behavior:Based on CiteSpace Knowledge Graph Analysis[J]. Frontiers in Psychology,2023,14:1031294.
[6] WEI B,BAI Y K,LIANG L Y,et al.Research Status and Evolutionary Trends of Digitally Empowered Community Emergency Management:Knowledge Graph Analysis Based on CiteSpace[J]. Sustainability,2024,16(20):8898.
[7] 王泓凯,张烈. 国际视阈下的博物馆交互设计研究现状、热点与趋势——基于CiteSpace可视化计量分析[J]. 南京艺术学院学报(美术与设计版),2024(4):90-96.
[8] 梁玲琳,蒋林喆. 以儿童为主体的参与式设计研究进展和特点分析[J]. 工业工程设计,2025,7(4):1-14.
[9] 杨雷,姚晓彤. 设计研究热点知识图谱分析——以《设计问题》(2001—2023)为例[J]. 装饰,2025(9):133-135.
[10] 汪天雄,汪媛媛. 知识图谱视角下非遗数字化发展研究热点与前景探究[J]. 工业工程设计,2025,7(3):1-7.
[11] 郭寅曼,季铁,田启俊. 文化科技融合下的数字文化创新设计研究——基于Citespace的知识图谱分析[J]. 浙江大学学报(人文社会科学版),2023,53(1):30-43.
[12] 王振鲁,李永昌. 企业设计创新的路径、机制与趋势:基于CiteSpace的可视化分析[J]. 技术经济,2024,43(12):111-124.
[13] 原玉玺,魏天刚. 基于Citespace的凤翔泥塑研究热点及趋势的文献计量可视化分析[J]. 工业工程设计,2025,7(5):101-110.
[14] 朱东云,褚建勋. 中国人工智能研究热点与趋势——基于中文社会科学引文索引(CSSCI)论文的分析[J]. 科技管理研究,2024,44(10):1-12.
[15] 丁满,程语. 产品色彩感性工学设计研究现状[J]. 机械设计,2022,39(7):122-128.
[16] 苏畅,付黎明,魏君,等. 基于感性工学和主成分分析的车身色彩设计[J]. 吉林大学学报(工学版),2016,46(5):1414-1419.
[17] 初建杰,张美璇,王磊,等. 基于感性意象的飞机客舱座椅色彩和材质设计研究[J]. 机械设计,2020,37(2):126-130.
[18] 徐媛媛,周之澄. 花卉旅游商品设计语义符号的提取与转译研究[J]. 装饰,2019(4):38-42.
[19] 胡志刚,余隋怀,闫红玲,等. 基于案例知识的数控机床感性配色研究[J]. 机械设计,2017,34(3):117-120.
[20] 盛艾,胡国生. 色彩感性因素研究的现状与问题[J]. 新美术,2023,44(3):243-251.
[21] 陆江艳,邰碧源. 大型邮轮外观色彩要素及设计策略研究[J]. 装饰,2023(4):133-135.
[22] ZHANG X X,LI Y Y,PEI H N,et al.Research on Chaos of Product Color Image System Driven by Brand Image[J]. Multimedia Tools and Applications,2023,82(16):24425-24444.
[23] 何劲涛,陈登凯,余隋怀. 旅游文化创意产品多文化意象色彩设计评价方法[J]. 机械科学与技术,2021,40(1):92-100.
[24] 白桂婷,朱丽萍,李永锋. 基于生活形态分析与模糊综合评价的老年人家具配色设计研究[J]. 包装工程,2023,44(6):125-135.
[25] GUO F,LI F X,NAGAMACHI M,et al.Research on Color Optimization of Tricolor Product Considering Color Harmony and Users' Emotion[J]. Color Research & Application,2020,45(1):156-171.
[26] 宗立成. 产品情感配色的计算机辅助设计及其评价方法[J]. 图学学报,2018,39(4):623-628.
[27] 林霜,黄若涵. 基于多模态感官用户体验的产品声音感知研究[J]. 装饰,2019(8):102-105.
[28] 林晨晔. 基于用户体验的产品色彩定向设计方法[J]. 包装工程,2019,40(22):46-49.
[29] 史庆春,孙金红,王健. 基于眼动追踪技术的抛光机造型设计与色彩优选[J]. 机械设计,2016,33(8):105-108.
[30] 薛磊. 高速列车座椅设计的混合感性工学意象系统研究[D]. 北京:北京交通大学,2020.
[31] 李孟山,徐秋莹,高德民,等. 融合混合智能方法和多用户意象的色彩决策系统[J]. 计算机辅助设计与图形学学报,2017,29(11):2091-2099.
[32] 刘肖健,冯玉梅,张幂,等. 基于大数据的配色方案优化约束空间建构[J]. 包装工程,2022,43(20):49-56.
[33] 李愚,刘肖健,孙艳,等. 产品配色设计的色彩邻接网络模型[J]. 计算机集成制造系统,2019,25(9):2355-2364.
[34] 徐伟,徐子茜. 协同服务创新视角下社区综合养老空间营造研究[J]. 河海大学学报(哲学社会科学版),2024,26(5):62-74.
[35] 王世杰,苏建宁,张书涛,等. 面向多维属性特征的关键需求信息识别[J]. 计算机集成制造系统,2025,31(6):1978-1990.
[36] LIU D S,ZHANG J,WANG C L,et al.Integrated Triangular Fuzzy KE-GRA-TOPSIS Method for Dynamic Ranking of Products of Customers’ Fuzzy Kansei Preferences[J]. Journal of Intelligent & Fuzzy Systems,2024,46(1):19-40.
[37] 吴琦. 智慧矿山人机界面色彩组合方案及其管理效应研究[D]. 北京:中国矿业大学(北京),2022.
[38] 邓雅倩,林丽,郭主恩,等. 脑电结合行为指标的汽车内饰色彩感性评价[J]. 机械科学与技术,2023,42(5):747-754.
[39] 吴天宇,管乐宁,赵祎乾,等. 基于情绪空间模型的产品色彩情感体验设计方法[J]. 机械设计,2024,41(8):202-208.
[40] 沈洁,许莉钧. 基于多源数据融合和交互式粒子群优化的船舶舱室内装智能色彩设计研究[J]. 西南大学学报(自然科学版),2024,46(8):150-161.