Practice of Cognitive Function and Computational Model Fusion in Smart Product Design Optimization

In order to improve the design of intelligent products, user cognition and perceptual engineering are integrated into intelligent product design.And through subjective survey and physiological measurements and other techniques to measure the user's emotional experience of the product, to construct the user's emotional evaluation model based on BP neural network.Multimodal interaction technology is used to optimize the product design method, and the implicit needs of users for intelligent products are obtained through the method of multimodal perception, which is matched with the product interaction, so as to propose the intelligent product design strategy based on multimodal interaction.In order to verify the effect of the strategy, physiological indicators and perceptual imagery are obtained to evaluate the products.Finally, the user satisfaction of intelligent products under this strategy is studied.The benefit ratio of the smartwatch designed based on the design strategy of this paper (0.438811) is better than other market competitors.The user satisfaction of the 10 experience dimensions of this smartwatch is distributed in the range of [80%, 93%], the dimension with the highest satisfaction is functionality, the lowest is attractiveness, and the overall satisfaction is 86.6%, and the smartwatch designed by this paper's design strategy obtains a high level of user satisfaction.