Research on product design platform based on intelligent algorithm and user cognition

Abstract

The cognitive differences between users and designers make the effective mapping between product appearance design and user requirements a design problem. Product design has multi-dimensional characteristics, it is difficult for traditional design methods to consider the design issues comprehensively, and the sample size is small, resulting in deviations between the design plan and user needs. In response to these problems, it is proposed to build a product design platform that integrates intelligent algorithms with user cognition to achieve effective matching between product design schemes and user cognition. Quantitatively analyze the design plan data, dig out the key design feature elements of each dimension, objectively and rationally study the product design and development process, and provide a reference for establishing an effective and humanized product design collaborative service platform, thereby simplifying the designer's design and development process. The knowledge acquisition program promotes the production of fast and efficient design solutions.