Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In order to solve the problem of mismatch between consumers’ personalized needs and clothing pattern design, a method of clothing pattern image design was proposed based on Kansei engineering theory to obtain a perceptual consumer image. Then, a correlation model between clothing pattern design elements and perceptual images of young people was established through the quantitation theory type I, and the mapping relationship between the two and the degree of influence on consumer preference was presented by the diagram method. The paper-cut pattern of a T shirt is taken as an example to verify the feasibility of this research method. The results show that it not only provides designers with clear design indicators and references, but also makes the design process more objective and scientific.
Czasopismo
Rocznik
Tom
Strony
17--24
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
- Clothing and Design Faculty, Minjiang University, Fuzhou, China
autor
- College of fashion and design, Donghua University, Shanghai, China
Bibliografia
- 1. Chen H, Cui LL, Yang C, Chen JF, Chen DS. Research on the value of clothing patterns based on perceptual psychology. International Textile Guide 2018; 46(9):55-60.
- 2. Yeonghoon K, Jihyun O, Sungmin K. Development of parametric garment pattern design system. International Journal of Clothing Science and Technology 2021;33(5):724-739.
- 3. Wang ZJ, Wang JP, Zeng XY, Tao XY, Xing YM, Bruniaux P. Construction of Garment Pattern Design Knowledge Base Using Sensory Analysis, Ontology and Support Vector Regression Modeling. International Journal of Computational Intelligence Systems 2021; 14(1):1687-1699.
- 4. Tamaki M, Sayuki K. Clothing Pressure Gradient for Comfortable Pantyhose. Journal of Fiber Bioengineering and Informatics 2023;15(4):243-257.
- 5. Saeed MA, Safdar F, Basit A, Maqsood HS, Iqbal K. Development of Thermally Comfortable Clothing for Hot and Humid Environment. Journal of Natural Fibers 2021;19(14):1-13.
- 6. Jiao Y, Qu QX.A proposal for kansei knowledge extraction method based on natural language processing technology and online product reviews. Computers in Industry 2019;108:1–11.
- 7. Mitsuo N. Kansei engineering as a powerful consumer-oriented technology for product development. Applied Ergonomics 2002; 33(3): 289–294.
- 8. Sotiris P, Marianthi B, Margarita K. A Kansei Engineering Study of Saffron Packaging Design. International Journal of Affective Engineering 2021; 20(4): 237-245.
- 9. Bagheri M, Shahroudi A. Effect of opening architectural shapes on users’ emotion with Kansei method. Intelligent Buildings International 2018;10(2):103-121.
- 10. Bo L, Wu YH, Lin YC. Application of generative adversarial network for designer assistance system. Intelligent Sustainable Systems 2022; 333:113-121.
- 11. Zhang JX, Mu Y. Clothing design methods based on Kansei engineering: Example of suit design. Lecture Notes in Networks and Systems 2021; 260:1111-1117.
- 12. Song Y, Ruan SK. Perceptual evaluation of men’ s shirt design based on quantitative theory I. Journal of Silk 2023; 60(3):105-112.
- 13. Chen DL, Cheng PP. The style design of professional female vest based on kansei engineering. International Journal of Clothing Science and Technology 2020; 32(1):5-11.
- 14. Masayuki T, Ran Y, Julie P, Moe Y, Kenya Y, Kyoung Ok K, Keiko M. Fabric retrieval system for apparel e-commerce considering Kansei information. International Journal of Clothing Science and Technology 2020; 32(1):148-159.
- 15. Yin W, Gan Y. Research on texture design methods of clothing material based on Kansei engineering. Chemical Engineering Transactions 2015; 46:1-6.
- 16. Wei Y, Bugao X. Perceptual evaluations of plant-dyed and industrial-dyed cotton fabrics based on Kansei engineering. AATCC Journal of Research 2022; 9(1):23-34.
- 17. Lu XJ, Xu J. Color matching evaluation of women’s garments based on kansei engineering. Wool Textile Journal 2021; 49(2):94-98.
- 18. Fan JT, Newton E, Lau LL, Liu F. Garment Sizes in the Perception of Body Size. Perceptual and Motor Skills 2003; 96(3):875-882.
- 19. Liu F, Fan JT, Lau LL. Perceived Body Size Affected by Garment and Body Mass Index. Perceptual and Motor Skills 2006; 103(1):253-264.
- 20. Zheng TZ, Wang JP. Perceptual research on printing patterns design for clothing. Journal of Textile Research 2020; 41(8):101-107.
- 21. Guo JY, Zhang WQ, Li HL, Xia TS. Visual emotion research of yoga pants pattern composition element. Journal of Silk 2023; 60(7):107-115.
- 22. Chen YF, Liu C. Kansei engineering application of the Chinese painting pattern in song dynasty in the design of cheongsam. Wool Spinning Technology 2021; 49(3): 47-53.
- 23. Li Y, Wu J. Correlation between consumer’s perceptual cognition of garment polka dot patterns and design elements. Journal of Textile Research 2020; 41(10): 132-136.
- 24. Wu MY, Yu QW, Wang JP, Wang JY. The regression model construction of perceptual image and design elements of Miao embroidery in southeast Guizhou Province. Wool Textile Journal 2023; 51(7):97-103.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0c6e2a08-5302-48d6-881e-d34e0ed32966