Research Of Website Interaction Design Based On UE

With the continuous development of Internet, online group buying websites arise gradually and develop rapidly with the help of Internet platform. Due to their lower price and high discount marketing patterns, online group buying websites attract the majority of users of all ages. However, whether online group buying website can keep a long-term development and let the user satisfaction, not only depends on the goods, but also whether it can provide a better experience when interacting with its users. That is to say, the merit of the interaction design is crucial for the group buying websites. So the detailed research on interactive design for group buying websites can provide reference for the whole website design, and has a vital significance.At present, most researches focus on the website’s interface and the qualitative description of the design elements. Based on the relevant theories, this paper mainly studies on website interaction design experiment research, and tries to build a relations model between interaction design elements and eye movement indexes, user emotion, and then optimize the design parameter to obtain the optimal design.The main thesis works include the following aspects:(1) Extracting website’s interaction design elements. Four representative group buying websites are obtained by cluster analysis for subsequent experiment. By combining related theories about interaction design and Kansei engineering to analyze the representative websites and discussing with experts, the article finally extracts the interaction design elements of the websites.(2) Building website’s emotional assessment scale. This paper collects initial emotional words from the questionnaire, then completes the correlation analysis and factor analysis for the filtered word pairs to obtain the emotional words’ factor structure, and constructs the reliability and validity of the scale to get the final emotional assessment scale which is to be used to assess interaction between users and the websites.(3) Eye movement experiment research on the selected representative group buying websites. By collecting objective eye movement data and subjective emotional experience data though eye movement experiment, and then analyzes and tests the preliminary selected data, the article finally extracts the available eye movement indexes.(4) Establishing regression model of the interaction design elements and eye movement indexes by quantification theory I and partial least-square regression method. This paper constructs neural network model for emotional words and user preference, interaction design elements and emotional words as well as user preference through neural network, then verifies the validity of the model, and finally optimizes the design parameters by using the genetic algorithm.