Design And Research Of User Experience Based On Big Data Analysis

Big data has been an important reference tool for enhancing the user experience design, and effective data mining and analysis can be used by enterprises to enhance the user experience’s existing products or user demand analysis to develop new products and services. User experience is subjective feelings of users, and the users’ common sense can be understood through the big data analysis. At present, the "user experience" and "big data” have achieved much attention from the Internet industry, a single field of research data and references are sufficient, however, user experience data and references for research and design which based on the data analysis are not very rich, rapid development of user experience design needs practical significance and theoretical knowledge to rely on, which is the main reason for this topic.The basic content of this paper includes the definition of user experience, overview of large data, the definition and selection of common information of large data and the process of user experience design improvement. It requires to inquiry the commonness of user experience, grasp the research methods of user experience design, and its methods includes: questionnaire survey method, eye tracker testing, usability testing and "persona",etc. These methods are all rely on the conclusions of data analysis as well as the users’ common information(region, gender and time attribute and so on). Relying on these data and perfect design process to plan and design good user experience products allows users to produce subjective pleasantness and a good evaluation of the product.Designers need to analysis data subjectively and scientifically, and use the data analysis results cleverly through the improvement of the design methods and design process which can make the design and development more objective, accurate and timely. It can assist people in the design field to enter a new level, and the key of this study is to promote the user experience design, rather than the user experience itself.