Research On Structure Model From Visualization Design Of Multidimensional Data Interface

With the coming of the Big Data, the user's demand for data and information has changed from simply obtaining to positively exploration.As unexpected, available information to us is always covered by a large number of useless information.Multidimensional,unstructured information is closely related to People's Daily life,while these data usually makes the data processing too complicated and presentation not easy to understand.Therefore, how to help users read and analyze data more efficient, which is the problem generated from Big Data.Therefore,based on the present situation, We proposed the theory and method innovation thinking.The paper based on the features of high-dimensional data,working memory, human cognitive characteristics and the theory of UXD. It covers the multidimensional data,large scale,structure type and changeable characteristics of real-time and the related theory of data structure is studied and analyzed.Meanwhile, the analysis of the current lack of visual presentation aspects.Firstly,in this paper, we suggests about the data unit, the primitive relations and construction method of data with the units.Meta data as the basic architecture of the data structure unit contains a data dimension so that the readability.Based on the theory of topology,data primitive model can be divided into the line structure,tree structure and network structure,and analysis of the characterization of three kinds of structure features.Meanwhile,the proposed timing of the data characterizing new structure-flight type data structure.After that,the article is on the basis of the data structure characteristic and working memory characteristics,combined with the task-oriented visual cognitive behavioral characteristics,puts forward "Model of task level separation construction method for data".It is based on the idea about data complexity reduction and visual pause's addition.The two aspects of theory is used to remove invalid working memory traces of two aspects of optimization of user's visual information processing environment and enhance the efficiency of visual search.Finally,it is wrote to introduce two eye-tracking experiments designed for assessing the availability of "Model of task level separation construction method for data". It contains two different sub experiments named "assessment for hierarchical processing performance"and"assessment for usability of Clear-time". The tests by comparing the performance between the treatment group and the control group to explore availability of the model we build.Besides, the paper is to explore value and significance from the introduction of the user "task oriented" cognitive behavioral characteristics to the construction of data visualization model.