Visual Analytic System Based on Interaction History On-Line Tracking Mechanism
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    Abstract:

    Existing visual analytic systems have deficiency in supporting the iterative process of analytic reasoning, which bring heavy memory burden to users. To solve these problems, this paper studies and designs a visual analytic system based on interaction history on-line tracking mechanism. Firstly this paper analyses the interactive task model, secondly studies the interaction history on-line tracking mechanism of the system. Thirdly the paper studies the action predicting method based on interaction history, and then put forward the visual metaphor self-adapting layout mechanism. Finally, it gives the application instance of the system and the experiment evaluation. The result of the evaluation experiment demonstrates that the system can provide natural and effective support for the process of analytic reasoning.

    Reference
    [1] Thomas JJ, Cook KA. Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Ctr., 2005. http://nvac.pnl.gov/docs/RD_Agenda_VisualAnalytics.pdf
    [2] Stolte C, Tang D, Hanrahan P. Query, analysis, and visualization of hierarchically structured data using Polaris. In: Za?ane OR, Goebel R, eds. Proc. of the 8th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining. New York: ACM Press, 2002. 112-122.
    [3] Viegas FB, Wattenberg M, Ham FV, Kriss J, McKeon M. Many eyes: A site for visualization at Internet scale. IEEE Trans. on Visualization and Computer Graphics, 2007,13(6):1121-1128.
    [4] Stasko J, G?rg C, Liu Z. Jigsaw: Supporting investigative analysis through interactive visualization. Information Visualization, 2008,7:118-132.
    [5] Ren L. Research on interaction techniques in information visualization [Ph.D. Thesis]. Beijing: Graduate University, the Chinese Academy of Sciences, 2009 (in Chinese with English abstract).
    [6] Yee KP, Fisher D. Animated exploration of dynamic graphs with radial layout. In: Andrews K, Roth S, Wong PC, eds. Proc. of the IEEE Symp. on Information Visualization. IEEE Computer Society, 2001. 43-50.
    [7] Shrinivasan YB, Wijk JJ. Supporting the analytical reasoning process in information visualization. In: Czerwinski M, Lund A, Tan D, eds. Proc. of the 26th Annual SIGCHI Conf. on Human Factors in Computing Systems. New York: ACM Press, 2008. 1237-1246.
    [8] Tollis IG, Battista GD, Eades P, Tamassia R. Graph Drawing: Algorithms for the Visualization of Graphs. Prentice Hall PTR, Upper Saddle River, 1998.
    [9] Herman I, Melancon G, Marshall MS. Graph visualization and navigation in information visualization: A survey. IEEE Trans. on Visualization and Computer Graphics, 2000,6(1):24-43.
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滕东兴,汪恭正,熊金泉,王宏安,戴国忠.基于交互历史在线跟踪机制的可视分析系统.软件学报,2010,21(zk):51-59

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History
  • Received:July 15,2009
  • Revised:July 09,2010
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