The use of traditional Chinese elements in modern interior design in the context of multimedia

Author:

Zhu Zhenji1

Affiliation:

1. 1 Zhangzhou Institute of Technology , Zhangzhou , Fujian , , China .

Abstract

Abstract Chinese traditional elements have to carry on their own inheritance and innovation in continuous social development, and this process will encounter different challenges and complex problems. In order to better integrate traditional elements into interior design, this paper analyzes the current situation of integrating traditional elements into modern interior design, uses a neural network model to explore the influence of multimedia context on the modern interior design of traditional Chinese elements, and investigates modern people’s preference for the way traditional elements are integrated into modern interior design through a questionnaire survey. The results show that the priority factors for choosing an interior design, the number of consumers aged 20-35 who prefer their favorite style in home decoration, accounts for about 40% of the total, and the cross analysis shows that the sense of atmosphere accounts for 15%, which shows that young people around 20-35 years old have the personality of the times and pursue a high quality of life. Only the age older users will consider comfort. It can be seen that interior design with traditional elements is more in line with the preferences of older people. Inheritance and innovation of traditional Chinese culture is a huge challenge, and the reasonable integration of traditional and modern science needs to make attempted more.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference31 articles.

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3. Andrea, F. F., Pellacini, F., Scateni, R., et al. (2022). PAVEL: Decorative Patterns with Packed Volumetric Elements. ACM Transactions on Graphics (TOG).

4. Zhou, R. (2019). On the Application of Traditional Folk Art Elements in Visual Communication Design. Basic & Clinical Pharmacology & Toxicology, S9, 125.

5. Liang, T., Liu, Z., Wang, W. (2020). Pattern Recognition of Decorative Elements Based on Neural Network. Journal of Intelligent and Fuzzy Systems, 39(6), 8665-8673.

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