A study on parametric design of ceramic liquor bottles by combining grey relational analysis and particle swarm optimization support vector regression

Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact th...

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Published in:	Scientific reports Vol. 15; no. 1; pp. 39051 - 17
Main Authors:	Guo, Wei, Lu, Xing, Zhang, Zhenwei
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 07.11.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166/988 639/705/1046 Artificial intelligence Ceramic liquor bottle Competitiveness Consumers Content analysis Creative industries Culture Design optimization Design techniques Designers Emotions Grey relational analysis Humanities and Social Sciences Innovations Kansei engineering Literature reviews Mapping multidisciplinary Particle swarm optimization-support vector regression Physical characteristics Product design Risk reduction Science Science (multidisciplinary) System theory Traditional cultural product Japan Particle swarm optimization-support vector regression Grey relational analysis Ceramic liquor bottle Traditional cultural product Kansei engineering
ISSN:	2045-2322, 2045-2322
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Abstract	Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact that cultural and creative products cannot be recognized by consumers when they are introduced to the market. In order to seek the design method with intelligence assistance and better design cultural products that can be in line with users’ emotional intentions, a parametric design method of cultural and creative products based on Kansei engineering, integrating grey relational analysis (GRA) and particle swarm optimization-support vector regression (PSO-SVR) is proposed in this paper. It aims at accurately quantifying users’ emotional needs and mapping them into product design parameters. Firstly, web crawler and expert interview are used to collect users’ emotional needs and product samples; and the morphological deconstruction of products is carried out as well. Secondly, GRA is used to calculate the optimal weight of users’ emotional needs and extract the key emotional needs. Finally, PSO-SVR is used to construct the mapping model of key users’ emotional needs and morphological characteristics so as to determine the optimal design parameters of ceramic liquor bottles. The result shows that the most critical emotional needs are “tough”, “fashionable” and “exquisite”. In addition, the evaluation results of the optimized design scheme have a high degree of fit with the prediction results of the mapping model, which verifies the feasibility of the proposed method. Compared with traditional cultural and creative products, this research can better balance the subjective aesthetics of designers and the objective needs of consumers, which can help enterprises build a communication bridge between users and designers, accurately predict the emotional needs of users, reduce the risk of product development failure and improve the market competitiveness of enterprises.
AbstractList	Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact that cultural and creative products cannot be recognized by consumers when they are introduced to the market. In order to seek the design method with intelligence assistance and better design cultural products that can be in line with users’ emotional intentions, a parametric design method of cultural and creative products based on Kansei engineering, integrating grey relational analysis (GRA) and particle swarm optimization-support vector regression (PSO-SVR) is proposed in this paper. It aims at accurately quantifying users’ emotional needs and mapping them into product design parameters. Firstly, web crawler and expert interview are used to collect users’ emotional needs and product samples; and the morphological deconstruction of products is carried out as well. Secondly, GRA is used to calculate the optimal weight of users’ emotional needs and extract the key emotional needs. Finally, PSO-SVR is used to construct the mapping model of key users’ emotional needs and morphological characteristics so as to determine the optimal design parameters of ceramic liquor bottles. The result shows that the most critical emotional needs are “tough”, “fashionable” and “exquisite”. In addition, the evaluation results of the optimized design scheme have a high degree of fit with the prediction results of the mapping model, which verifies the feasibility of the proposed method. Compared with traditional cultural and creative products, this research can better balance the subjective aesthetics of designers and the objective needs of consumers, which can help enterprises build a communication bridge between users and designers, accurately predict the emotional needs of users, reduce the risk of product development failure and improve the market competitiveness of enterprises. Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer's personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact that cultural and creative products cannot be recognized by consumers when they are introduced to the market. In order to seek the design method with intelligence assistance and better design cultural products that can be in line with users' emotional intentions, a parametric design method of cultural and creative products based on Kansei engineering, integrating grey relational analysis (GRA) and particle swarm optimization-support vector regression (PSO-SVR) is proposed in this paper. It aims at accurately quantifying users' emotional needs and mapping them into product design parameters. Firstly, web crawler and expert interview are used to collect users' emotional needs and product samples; and the morphological deconstruction of products is carried out as well. Secondly, GRA is used to calculate the optimal weight of users' emotional needs and extract the key emotional needs. Finally, PSO-SVR is used to construct the mapping model of key users' emotional needs and morphological characteristics so as to determine the optimal design parameters of ceramic liquor bottles. The result shows that the most critical emotional needs are "tough", "fashionable" and "exquisite". In addition, the evaluation results of the optimized design scheme have a high degree of fit with the prediction results of the mapping model, which verifies the feasibility of the proposed method. Compared with traditional cultural and creative products, this research can better balance the subjective aesthetics of designers and the objective needs of consumers, which can help enterprises build a communication bridge between users and designers, accurately predict the emotional needs of users, reduce the risk of product development failure and improve the market competitiveness of enterprises.Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer's personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact that cultural and creative products cannot be recognized by consumers when they are introduced to the market. In order to seek the design method with intelligence assistance and better design cultural products that can be in line with users' emotional intentions, a parametric design method of cultural and creative products based on Kansei engineering, integrating grey relational analysis (GRA) and particle swarm optimization-support vector regression (PSO-SVR) is proposed in this paper. It aims at accurately quantifying users' emotional needs and mapping them into product design parameters. Firstly, web crawler and expert interview are used to collect users' emotional needs and product samples; and the morphological deconstruction of products is carried out as well. Secondly, GRA is used to calculate the optimal weight of users' emotional needs and extract the key emotional needs. Finally, PSO-SVR is used to construct the mapping model of key users' emotional needs and morphological characteristics so as to determine the optimal design parameters of ceramic liquor bottles. The result shows that the most critical emotional needs are "tough", "fashionable" and "exquisite". In addition, the evaluation results of the optimized design scheme have a high degree of fit with the prediction results of the mapping model, which verifies the feasibility of the proposed method. Compared with traditional cultural and creative products, this research can better balance the subjective aesthetics of designers and the objective needs of consumers, which can help enterprises build a communication bridge between users and designers, accurately predict the emotional needs of users, reduce the risk of product development failure and improve the market competitiveness of enterprises. Abstract Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s personal artistic accomplishment and aesthetic judgment. However, the cognitive difference between designers and consumers will lead to the fact that cultural and creative products cannot be recognized by consumers when they are introduced to the market. In order to seek the design method with intelligence assistance and better design cultural products that can be in line with users’ emotional intentions, a parametric design method of cultural and creative products based on Kansei engineering, integrating grey relational analysis (GRA) and particle swarm optimization-support vector regression (PSO-SVR) is proposed in this paper. It aims at accurately quantifying users’ emotional needs and mapping them into product design parameters. Firstly, web crawler and expert interview are used to collect users’ emotional needs and product samples; and the morphological deconstruction of products is carried out as well. Secondly, GRA is used to calculate the optimal weight of users’ emotional needs and extract the key emotional needs. Finally, PSO-SVR is used to construct the mapping model of key users’ emotional needs and morphological characteristics so as to determine the optimal design parameters of ceramic liquor bottles. The result shows that the most critical emotional needs are “tough”, “fashionable” and “exquisite”. In addition, the evaluation results of the optimized design scheme have a high degree of fit with the prediction results of the mapping model, which verifies the feasibility of the proposed method. Compared with traditional cultural and creative products, this research can better balance the subjective aesthetics of designers and the objective needs of consumers, which can help enterprises build a communication bridge between users and designers, accurately predict the emotional needs of users, reduce the risk of product development failure and improve the market competitiveness of enterprises.
ArticleNumber	39051
Author	Guo, Wei Zhang, Zhenwei Lu, Xing
Author_xml	– sequence: 1 givenname: Wei surname: Guo fullname: Guo, Wei organization: College of Arts, Kyungpook National University – sequence: 2 givenname: Xing surname: Lu fullname: Lu, Xing organization: Department of Design and Crafts, Hongik University – sequence: 3 givenname: Zhenwei surname: Zhang fullname: Zhang, Zhenwei email: ocb0607@gmail.com organization: Department of Design, Hansei University
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Snippet	Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer’s... Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the designer's... Abstract Nowadays, with the vigorous development of cultural and creative industries, the design of traditional cultural products often depends on the...
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SubjectTerms	639/166/988 639/705/1046 Artificial intelligence Ceramic liquor bottle Competitiveness Consumers Content analysis Creative industries Culture Design optimization Design techniques Designers Emotions Grey relational analysis Humanities and Social Sciences Innovations Kansei engineering Literature reviews Mapping multidisciplinary Particle swarm optimization-support vector regression Physical characteristics Product design Risk reduction Science Science (multidisciplinary) System theory Traditional cultural product
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Title	A study on parametric design of ceramic liquor bottles by combining grey relational analysis and particle swarm optimization support vector regression
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