Research On The Visual Presentation Method Of Big Data Visualization Based On User Cognition

Oppportunities and challenges are generated in the age of big data.The big data era was created by high-channel scientific experiments,high-speed scientific computing,high-resolution sensors and intricate network environment.The contradiction between the limited visual display space and high-dimensional and multivariant complex big data has become increasingly prominent.The problem of spatial limitation caused by this contradiction is the fundamental issue of big data visualization.Human being who is the cognitive subject to make decision of information situation stands at the top of the structure lf visual information.Therefore,the pursuit of big data visualization should be to satisfy people's cognitive characteristics,and ultimately achieve the information presenting on demand by hierarchical displaying in multi pages.The study aims to solve the problem of spatial limitation and starts from the information characteristics of big data and the cognitive characteristics of human being.Visual presentation of visualization interface was taken as the research object and the human physiological and behavioral evaluation was taken as the test method,this study systematically discussed on the visual presentation methods of big data visualization based on cognition.The study combined theoretical research,cases study and experimental observations and design verification together.The results of the research can provide methodological guidance for big data visualization.The main research contents and innovations of this paper were listed in the following.(1)The human-information interactive multi-level structure model was taken as the research structure.This study discussed on the information space,mental space,repretention space and interaction space of big data visualization in order.Based on human's cognition,this study put forward the complex cognitive model of human-computer collaboration of big data visualization.And it could be the theoretical basis of big data visualization research.(2)The visual presentation design was descibed in two parts,the visual dimension mapping on the single page and the interactive design between multi pages.It focused on the mapping rules of information dimensions and visual presentations.This study presented the primitive relationship in classification and the relationship between primitive and information dimensions in the macroscopic view,and the qualitative and quantitative dimension presentation and the integration-separation law between two dimensions in the microscopic view.The mapping relationship between information and visual presentation provided the design methods for big data visualization presentation.(3)Considering the interactive design between human and information as the research focus,and achieving the effective integration of information and knowledge consistency among multiple pages as the goal,the interactive design principles,interactive design dimensions and effective interactive design strategy of big data visualization were put forward in this study.It could provide the methodological guidance for big data visualization interactive design.(4)In the study of evaluation of big data visualization,a composite virtual indicator—visual momentum index based on eye tracking data was proposed to quantified evaluate the multi-page dynamic interactive visualization interface.And it was verified in behavior experiments.This physiological evaluation method has the feasibility to generalizate into general working environment and could be employed as an objective evaluation method of big data visualization design.