Year: 2024
Type: article
Abstract: (1) Background: Users' comments on online shopping platforms can truly reflect users' feelings about products. They have the advantages of large sample size, wide range and uniform distribution, and can help optimize the perceptual model of product design; (2) Methods: The web crawler captures user comments, which are quantified by TFIDF-SP. The perceptual evaluation index is selected by Principal Component Analysis, and the product is disassembled into several main structures by Morphological Analysis. The perceptual optimization model is constructed by BP Neural Network; (3) Results: Taking the paint tray as an example, the combination of morphological factors with the highest perceptual evaluation value is predicted according to the trained BP Neural Network. The experimental results verify the accuracy of the model; (4) Conclusions: The model based on BP Neural Network has the ability to quickly and accurately combine the best form factors, improves the design efficiency of perceptual optimization of product design, improves the rationality of product design, and provides a new idea for product design oriented by consumer demand market.
Author: Lei Yong
Institution: Ningbo Polytechnic
Language: English
Topic: Color perception and design
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,285
OpenAlex ID: W4404728450