Research On Cognitive Behavior Of Big Data Interface

Big data is treated as a mine that can produce infinite commercial value. For big data, the value lies in the extraction and resolution. Information visualization makes data talk to users, it is the very platform that makes the cooperation between data and users more effective.According to the characteristics of big data and cognitive characteristics of individuals, to design a whole series of big data visualization charts and make users get new values from clumsy data with no clear relations is the very most purpose of dig data interface design.First, through the comparison of traditional information interface and big data information interface, the unique characteristics of big data interface and the differences between the two different interfaces are obtained, at the same time, possible cognitive behavior are discussed to guide the design. Then, according to the uniqueness of cognitive characteristics of individuals, a suitable and realistic data set has been chosen, and typical interfaces of a big data system has been design due to the combination of theory and practice.Finally, eye tracking and behavior experiments are conducted to make assessment of the interfaces which are newly designed, usability is valued; at the same time, the interaction design of the newly designed system has been studied at a low level, which will be fully studied by my workmates. The experiments use individual indexes to conduct the analysis, which is both qualitatively and quantitatively.