Research On Interaction Design Of Big Data Interface

With the advent of the era of big data, a huge bunch of data is not symbols but valuable insights.Faced with magnificent and esoteric big data, how to make these data become chaotic friendly and easy to understand, data visualization is undoubtedly the most effective way.Previously boring statistics and analysis is just the research field of statisticians, data analysts and scientists.Because of the innovation, interactive design method of field such as MI(Mobile Intemet),IOT(Internet of Things),Wearable device etc.apply to big data visualization, n order to develop unified interface design methods and processes for big data information system.It is the user can not conceive or similar elements with intuitive, dynamic forms, and thus improve the availability and experience of big data information system.First, the article analyzes characteristics of large data information display interface through the large data size, type, relationships and feedback, and points out the differences between the large data information display interface and traditional information display interface.According to the cognitive process, cognitive characteristics, cognitive load, it gets the mental model of interface design to explore the user’s visual cognition in the large data information display interface.Then, according to the analysis of interface features and user cognition, it presents a set of effective interaction design methods and processes, and to practice.Finally, the eye tracking of usability evaluation is conducted according to design model, comparing the advantages and disadvantages of the design before and after the information display interface.This is in order to investigate the interaction design model availability.In addition, the article also investigated by questionnaires user experience, to qualitative and quantitative research.