Traditional patterns are widely used in the modern design due to their long history, rich connotation, and beautiful form. However, the current application of traditional patterns in the modern design is mostly based on the designer’s subjective preferences, not from the perspective of consumers, to explore their feelings about traditional patterns, and which design factors have an impact on consumers, which is the main reason why modern applications of traditional patterns cannot meet the esthetic needs of modern consumers. Therefore, to make better inheritance of the traditional pattern and meet the needs of contemporary consumers, this article takes the caisson lotus pattern of Mogao Cave in the Tang dynasty as an example and first, using the theory of Kansei engineering to investigate the perceptual cognition of the young consumers aged 20–35 years old on the lotus pattern, then use SPSS 24.0 software to analyze the perceptual evaluation data, find the design element combination code corresponding to the perceptual vocabulary, and establish a mathematical model that can predict consumers’ emotional imagery of the lotus pattern of the caisson in the Tang dynasty. Through the verification of the model, the test results show that the model has a high degree of credibility; designers can use this model to quickly evaluate and redesign the lotus pattern to better meet the needs of modern consumers. At the same time, the method of this paper can also be applied to other design fields with user-centered concerns.
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 Zhou J. Su J. N. Liu Z. Q. Sang Y. N. (2018). Research on empathic of cultural and creative products design take as Mogao Grottoes caisson art creative product design as an example. Art and Design (Theory) 16(7) 113-115.
 Zhou F. (2016). Analysis of the application value of Dunhuang caisson pattern in modern design. Popular Literature 60(22) 91.
 Jiang S. Y. (2014). The reference and application of Dunhuang art in modern home textile art design. Jiangsu Silk 42(1) 20-23.
 Wang Y. Chen Y. (2007). Relationship between perception and designing elements of woman’s overcoats. Journal of Textile Research 28(11) 97-100.
 Luo S. J. Pan Y. H. (2007). Progress in sensory image theory technology and application in product design. Journal of Mechanical Engineering 43(3) 8.
 Su J. N. Li H. Z. (2005). Research on the sensory characteristics of materials in industrial design. Mechanical Design and Research 21(3) 12.
 Xia P. P. Wang Y. H. (2016). Research on the sensibility evaluation of closed clothing patterns. Liaoning Silk 43(4) 11.
 Mitsuo N. (2002). Kansei engineering as a powerful consumer-oriented technology for product development. Applied Ergonomics 33(3) 289-294.
 Vieira J. Osorio J. M. A. Mouta S. Delgado P. Portinha A. et al. (2017). Kansei engineering as a tool for the design of in-vehicle rubber keypads. Applied Ergonomics 61 1-11.
 Yuhazri M. Y. Hidayah W. N. Sihombing H. Yahaya S. H. Sulaiman S. et al. (2018). Kansei engineering approach for the customers preferences of car design. In: Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research. 739 289-295.
 Mattia M. Giampaolo C. (2018). Prediction of Kansei engineering features for bottle design by a Knowledge Based System. IJIDeM 12(4) 1201-1210.
 Chaiwat K. Koichi Y. (2018). Application of Kansei engineering and data mining in the Thai ceramic manufacturing. Journal of Industrial Engineering International 14(4) 757-766.
 Lin Y. C. Yeh C. H. Wei C. C. (2013). How will the use of graphics affect visual aesthetics? A user-centered approach for web page design. International Journal of Human-Computer Studies 71(3) 217-227.
 Guo F. Liu W. L. Cao Y. Q. Liu F. T. Li M. L. (2016). Optimization design of a webpage based on Kansei engineering. Human Factors and Ergonomics in Manufacturing 26(1) 110-126.
 Jiang Y. Liu G. L. (2006). Study on consumer’s perceptual demand for the image of T-shirt. Journal of Textile Research 27(2) 98-100.
 Wang L. Z. Liu C. Liu S. D. (2016). Design of underwear based on Kansei engineering. In: The Textile Bioengineering and Informatics Symposium Proceedings 1 836-843.
 Shi J. P. Zhu J. N. (2011). A research on the knitted stripe apparel based on the perceptual knowledge of the wearer. Knitting Industry 38(1) 53-56.
 Wang H. Y. Liu G. L. (2014). Study on cognition of grid patterns based on consumer’s sensibility demand. Journal of Textile Research 35(11) 151-156.
 Gu Z. H. Wang Y. J. (2018). Application effect of blue and white patterns of Ming Dynasty on cheongsam. Journal of Textile Research 39(1) 126-132.
 Cai S. H. (2015). Research on the decorative art of Dunhuang caisson pattern in Tang dynasty. Modern Decoration (Theory) 30(9) 223-224.
 Luo X. W. (2018). Analysis of lotus ornaments in Dunhuang Mogao Grottoes in the Tang dynasty. Western Leather 40(13) 64.
 Chen X. J. Liang Z. H. (2004). Simplification in the circumstances-analysis of Dunhuang caisson patterns. Journal of Xi an University of Engineering Science and Technology 18(1) 44-47.
 Zhang. J. Chen X. J. (2010). The evolution of the pattern of the caisson in the Dunhuang Mogao Grottoes. Art Grand View 22(11) 54.