User requirements serve as the primary reference content in product design. The effective capture of crucial user requirements, followed by the development of a product technical solution aligned with these requirements, stands as a pivotal approach to enhancing design efficiency. In order to explore the problem of generating and decision-making of product technical solutions in the case of complex user demands, this study constructs a user requirements driven product optimization design model, which is used to complete the generation and decision-making of product design solutions in a more reasonable way. The model unfolds across three key stages: Firstly, a user requirements importance ranking system is crafted leveraging Kano Model and Pairwise Analysis. Next, employing the Functional Analysis System Techniques (FAST) theory and the Quality Function Deployment (QFD) theory, user requirements undergo transformation into technical solutions. Finally, these technical solutions are amalgamated into diverse technical combinations, with decisions facilitated by a game theory model to yield the optimal overall design solution. The new optimal design model reduces the influence of subjectivity and ambiguity in the process of user requirements analysis, increases the reliability of the transformation of user requirements into technical solutions, and improves the efficiency of the generation and decision-making of product design solutions under multiobjective situations. The model proposed in this study is exemplified through the development of a medicated bath water heater. Results indicate that the technical solution derived from the model surpasses similar products in terms of user satisfaction, thereby validating its feasibility.

Modeling is the primary point to conveying product characteristics. Accurately capturing the image needs of users for modeling is an important way to effectively improve product design efficiency. Quantitative theory type I is a method to solve the internal law between the user’s target image and the product modeling characteristics by building a mathematical model. Aiming at the problems of abundant product modeling design elements, diversified combination methods, and high design cost due to the subjective ambiguity of user images, a topological design method of product modeling based on quantification theory I is proposed. This method uses the semantic difference method and statistical method to obtain the quantitative data of perceptual semantic features of product modeling to represent the explicit and implicit needs of users. Based on the topological transformation, the topological analysis and modeling of the two types of requirements are carried out. The mapping model of product modeling features and style images is constructed using quantitative theory type I, and the topologic value of each modeling design element is calculated. The above method can effectively solve the mapping problem between product modeling features and style images. On this basis, this research provides a decision-making basis for product modeling design. Using a wine jug as a product exemplar for this research, the scheme design and evaluation are carried out to verify the effectiveness and feasibility of the product modeling topological design method.

User requirements serve as the primary reference content in product design. The effective capture of crucial user requirements, followed by the development of a product technical solution aligned with these requirements, stands as a pivotal approach to enhancing design efficiency. Addressing challenges associated with intricate user requirements, the inherent ambiguity during the trans-formation of user needs into technical solutions, and the elevated design costs resulting from the subjective nature of decision-making in technical solutions, this paper introduces a method for optimizing product technical solution decision-making rooted in user requirements. The method in-corporates the Kano model and pairwise analysis for the collection and analysis of user requirements. It involves acquiring and assigning weights to these requirements. Leveraging the Quality Function Deployment (QFD) theory, user requirements are translated into technical elements. High-value technical elements are determined based on the autocorrelation between user weights and technical elements. Consequently, a solution set for product technical solutions is derived. To optimize the decision-making process for technical solutions, the non-cooperative-cooperative tandem game model is employed. This model operates on the principle of parallel design, facilitating the determination of the overall optimal technical solution. The aforementioned method efficiently addresses the challenge of transitioning from user needs to technical solutions, offering a solid foundation for the selection of product technical solutions. To illustrate and validate the feasibility and effectiveness of this decision-making optimization method for product technical solutions, this paper employs the research and development of a medicinal bath water heater as a practical example.

Under the increasingly fierce competition in the product market, more and more product styles are available for consumers to purchase, and product appearance is also an important part of product attraction. In the stage of product development, designers often use the existing evaluation methods to evaluate the user’s preference for product design schemes, but the existing subjective evaluation methods are ambiguous, and the evaluation indexes in the objective test method are single. With the deepening of research on physiological signals in reflecting emotions, it has become a trend to measure users’ emotions through physiological characteristics. In this paper, multiple physiological indexes are used as the evaluation index of product scheme. Aiming at the problem that the subjective evaluation is not objective and accurate enough, and the evaluation index in the experimental evaluation method is single, based on the experimental method, the changes of physiological indexes under different emotional preference schemes are explored, and the physiological evaluation index system is established. By constructing a product design evaluation method with multiple physiological characteristics and verifying the feasibility of the method, the product design scheme is optimized more objectively and accurately, which provides an effective theoretical basis and method reference for the preference evaluation of product appearance design scheme.

In order to broaden the use of traditional patterns in modern design applications, a design method is proposed with the Joint bead pattern of Tang Dynasty as the research object. Firstly, the development and characteristics of the joint bead pattern in the Tang Dynasty are analyzed, and the scope of pattern sample collection is selected on the basis of clarifying its meaning and aesthetic characteristics. Secondly, the digital quantitative design method is applied to the extraction and analysis of the design factors of the joint bead pattern in the Tang Dynasty, and based on this, the innovative combination is carried out. Finally, the innovative design of the bead pattern is applied to household textile through modern design methods to enhance the cultural connotation of household textile and provide reference for the innovation of cultural and creative products.