16 January 2006 Hierarchical causality explorer: making complemental use of 3D/2D visualizations
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Hierarchical causality relationships reside ubiquitously in the reality. Since the relationships take intricate forms with two kinds of links - hierarchical abstraction and causal association, there exists no single visualization style that allows the user to comprehend them effectively. This paper introduces a novel information visualization framework which can change existing 3D and 2D display styles interactively according to the user's visual analysis demands. The two visualization styles play a complementary role, and the change in the style relies on morphing so as to maintain the user's cognitive map. Based on this framework, we have developed a general-purpose prototype system, which provides the user with an enriched set of functions not only for supporting fundamental information seeking, but bridging analytic gaps to accomplishing high-level analytic tasks such as knowledge discovery and decision making. The effectiveness of the system is illustrated with an application to the analysis of a nuclear-hazard cover-up problem.
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Shizuka Azuma, Issei Fujishiro, Hideyuki Horii, "Hierarchical causality explorer: making complemental use of 3D/2D visualizations", Proc. SPIE 6060, Visualization and Data Analysis 2006, 60600H (16 January 2006); doi: 10.1117/12.650934; https://doi.org/10.1117/12.650934

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