| With the development of social economy,consumers pay more and more attention to the appearance and style of products when buying products,and the aesthetic of things around them has also changed greatly.As a product with unique Chinese culture,tea set should be passed on and developed in many ways,but in the current tea set product market,the audience of tea set product design is very narrow,and there is no concept of design elements.Designers do not accurately express the design style of products,can not stimulate the purchase enthusiasm of contemporary young consumers.Therefore,in order to obtain the consumer’s emotion perception to carry on the tea set product emotion design research,provides the market guidance for the designer’s design to provide the consumer more accord with the times esthetic product.In this paper,after in-depth study of related theories,such as perceptual engineering,emotional design and product image,and EEG technology,virtual reality technology,first,the results of typical product survey are obtained by questionnaire method,then the representative product samples are selected by multi-dimensional scale analysis and cluster analysis in mathematical statistical analysis method,and the emotional image words are preliminarily collected and screened by questionnaire and focus group method.Secondly,we carry out the experiment of obtaining the sample of purple sand pot based on EEG technology to simulate the real purchase scene in the virtual reality situation.According to the experimental results,combined with the subjective emotion measurement scale,we obtain the sample of purple sand pot which accords with the user’s cognitive preference.Finally,based on the market analysis and target user orientation analysis,the design elements of user preference are applied to the emotional design of tea set products.This paper uses the method of combining physiological measurement technology with subjective emotion measurement to screen out consumer’s preference for product and image from many angles,and improves the transformation of consumer’s emotional image to specific product design elements more accurately and objectively. |