Research on Wardrobe Design Based on Kansei Engineering
AUTHORS
Kaijie FU,Hubei University of Technology, China
Shan HU,Hubei University of Technology, China
Xu JIANG,Jiangnan University, China
Qi JIA,Hubei University of Technology, China
ABSTRACT
Based on the fact that most of current current wardrobe modeling is mainly from the perspective of product designing, this paper aims to explore the user's emotional needs and wardrobe modeling design elements between the relevance, so as to provide better guidance for the wardrobe modeling design. Based on the kansei engineering theory, the modeling perceptual intention of representative wardrobe samples was analyzed and the semantic database was constructed. Semantic difference method would be used to conduct perceptual evaluation of representative samples and perceptual vocabulary. On the premise of ensuring the rationality of the data, SPSS software was imported to conduct the principal component analysis and factor coefficient quantitative analysis of the perceptual evaluation data, and the main perceptual intention words and design styles affecting the wardrobe design would be obtained. Finally, a correlation model between major parts of the wardrobe and perceptual image words would be established through questionnaire survey. And the existing wardrobe styles and styles would both be improved. SUS scale would be compared with the existing wardrobe styles to verify the feasibility of the design method, and finally a theoretical reference was provided for the research on wardrobe modeling.
KEYWORDS
Industrial design, Furniture design, Kansei engineering, Principal component analysis
REFERENCES
[1] Qianzhan industry research institute, “2020-2025 China furniture industry market demand forecast and investment strategy planning analysis report,” China: qianzhan industry research institute, (2020)
[2] Luo Shijian and pan yunhe, “Research progress of perceptual image theory, technology and application in product design,” Journal of mechanical engineering, vol.43, no.3, pp.8-13, (2007)
[3] Zhou xiaoxi and liang huie, “Effect evaluation of clothing fabric design based on perceptual image,” Journal of textiles, no.4, pp.60-64, Long the town grow, (2015)
[4] “The perceptual technology: perceptual Live in the design technology,” Tokyo: HaiWenTang. Press, (1989)
[5] Nagamachi m. “sei engineering: a new ergonomic consumer-oriented technology for product development,” International Journal of Industrial Ergonomics, vol.15, no.1, pp.3-11, (1995)
[6] Li faquan, xiong deide, and Tang Xinkui, et al. “Development and analysis of research on design cognitive process,” Computer engineering and applications, vol.47, no.20, pp.24-27, (2011)
[7] Luo Shijian and zhu shangshang, “Perceived image of product modeling by users and designers,” Journal of mechanical engineering, vol.41, no.10, pp.28-34, (2005)
[8] Bouchard C, Mantelet F, and Aoussat A, et al. “A European emotional investigation in the field of shoe design,” International Journal of Product Development, vol.7, no.1/2, pp.3, (2009)
[9] Zhafira N, Putra P S, and Rahmillah F I, et al. “Innovative design of ironing board based on Kansei Engineering and usability test,” Matec Web of Conferences, vol.154, (2018)
[10] Chen C C and Chuang m. c. “Integrating the Kano model into a robust design approach to enhance customer satisfaction with the product design,” International Journal of Production Economics, vol.114, no.2, pp.667-681, (2008)
[11] Tama I P, Azlia W, and Hardiningtyas d. “Development of customer oriented product design using kansei engineering and kano model:case study of ceramic,” Procedia Manufacturing, vol.4, pp.328-335, (2015)
[12] Su jianning, zhao huijuan, and wang ruihong, et al. “Product image modeling optimization design based on support vector machine and particle swarm optimization algorithm,” Mechanical design, vol.32, no.1, pp.105-109, (2015)
[13] Xiao wangqun, cheng jianxin, and zhou xue, et al. “Research on perceptual image space of modeling design elements of industrial robots based on eye movement experiment,” Mechanical design, vol.34, no.7, pp.124-128, (2017)
[14] Shuo - Fang Liu, Yuan-chin Hsu, and hung-cheng Tsai, “Development of a new cultural design process using Kansei engineering and fuzzy techniques a case study in Mazu crown design,” International Journal of Clothing Science and Technology, vol.5, no.31, pp.663-684, (2020)
[15] Wang nian-wen, wang jian, “Research on modeling design of family service robots for emotional needs,” Mechanical design, vol.35, no.11, pp.111-116, (2008)
[16] “National bureau of statistics of China. Statistical bulletin of national economic and social development in 2019,” Beijing: national bureau of statistics, (2019)
[17] Fu y b, Yang l, and yu f b., “application of Microsoft Excel in environmental monitoring data processing -- Grubbs inspection outlier data,” Sichuan environment, no.6, pp.107-109., (in Chinese, (2004)
[18] Yu kaimin, zhou xinli, and xiao fei, “Risk factor analysis of aircraft aircraft material support based on SPSS factor analysis,” Journal of naval aeronautical engineering college, vol.30, no.4, pp.368-371, (2015)
[19] Bangor, A., Kortum, p. t., and Miller, j. t., “Determining what individual SUS scores mean: Adding an adjective rating scale,” Journal of Usability Studies, vol.4, no.3, pp.114-123, (2009)