![]() Designer cognition is based on their understanding of the design goals, and the design of the products is based on their own aesthetics. When evaluating products, they express themselves with qualitative language on the basis of their cognition. User cognition is based on their own needs and aesthetic images. This requires consideration of the cognition and feelings of users and engineers, encouraging them to participate in design decisions and collaborate with designers. The modern industrial design follows the human-centered design concept and emphasizes the importance of humanistic elements in the design process. Due to differences in the division of labor, cognition, design interpretation, and professional knowledge among design participants, cognitive conflicts in the design process inevitably exist. The participating roles in product form evaluation are diverse, including users, designers, and engineers (“engineers” in the text refers to those who participate in design from a production perspective). Product design is divided into structured and unstructured design expressions. The external form of the product can directly affect a user's first impression of the product from many aspects, such as ergonomics, semantics, and aesthetics. Product form is the key point of product research and development. Product form innovation is the most direct and convenient way of product innovation, and it is an important method for enterprises to survive in fierce market competition. As product demand has risen to emotional satisfaction, how to develop new products that meet users' emotional needs has become an important topic. Users put forward higher requirements for the emotional design of products. The meaning of design is not limited to creating things, but more importantly, giving things meaning and value. ![]() ![]() Industrial design focuses on product factors such as function, shape, and information interaction, and it is a human-centered activity involving aesthetics, functions, and emotions. More subjective and objective factors, algorithms, and image recognition technology need to be further studied to improve the model in our future work. In this paper, we structured a relatively preliminary model to explain the fusion of cognitive information. The results verify the effectiveness and feasibility of the method. ![]() And the image evaluation of the two new schemes was greater than that of the previous seven generations of headlights. Lastly, the method was verified by taking Audi A4L series headlights as an example. Third, a genetic algorithm was applied to establish the intelligent image-style-oriented design method, which could guide the image form development of a product series through innovative design. Second, combining the multidimensional perception space and the characteristics measurement of the product form, the fitness function of the image form was constructed based on PREFMAP. First, from the perspective of the role characteristics of the design subjects, an equilibrium evaluation model was constructed using the logistic regression model and relative entropy theory. In order to realize the stability and inheritance of image characteristics in the development process of a series of products, we comprehensively analyzed the cognitive differences among users, designers, and engineers and propose a multicriteria decision system for an intelligent design method of product forms based on a logistic regression model, relative entropy theory, and preference mapping (PREFMAP).
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