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This paper makes a research of the relationship between interaction design elements and Kansei image words along with user preference based on user experience, Kansei Engineering and Interaction Design. First, four representative group buying websites were selected by the multidimensional scaling analysis and clustering analysis, and the interaction design elements were extracted by the discussion of experts and the method of morphological analysis, then the emotional assessment scale was established. Second, the article aims to build a correlation model between the interaction design elements and Kansei image words along with user preference via encoding the interaction design elements though quantification theory I, using the neural network algorithm, and then optimizes the design parameters with genetic algorithm.