Detection and identification of user product preference differences in online collaborative design
Customization behavior in the online collaborative design platform will affect users'attitudes towards products,and identifying specific product preference differences can help carry out targeted product design to cater to user needs and improve satisfaction.In response to this phenomenon,the chi-square test and single-factor analysis of variance were used to identify the changing phenomenon of users'product preferences in the collaborative design platform and the e-commerce platform by comparing product data inside and outside the platform,from styles,colors,patterns and culture.Use four elements of indicators to view and test the differences and changing characteristics of product preferences.Research shows that compared with ordinary e-commerce platforms,there are differences in the four preference indicators during online collaborative design,and the differences are significant in color and cultural elements.It also reflects the growth of users'personalized needs and product identification capabilities and forms.Increased tolerance.The results provide reference materials for product design and development in the online collaborative design platform and promote the development and popularization of the platform.
万方数据
维普
