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Visual intelligence density: definition, measurement, and implementation

Published:06 July 2009Publication History

ABSTRACT

Advanced visualization systems have been widely adopted by decision makers for dealing with problems involving spatial, temporal and multi-dimensional features. While these systems tend to provide reasonable support for particular paradigms, domains, and data types, they are very weak when it comes to supporting multi-paradigm, multi-domain problems that deal with complex spatio-temporal multi-dimensional data. This has led to visualizations that are context insensitive, data dense, and sparse in intelligence. There is a crucial need for visualizations that capture the essence of the relevant information in limited visual spaces allowing decision makers to take better decisions with less effort and time. To address these problems and issues, we propose a visual decision making process that increases the intelligence density of information provided by visualizations. To support this we propose a mechanism by which one could judge the intelligence density of visualizations. Furthermore, we propose and implement a framework and architecture to support the above process in a manner that is independent of data, domain, and paradigm. The system allows decision makers to create, manipulate, layer and view visualizations flexibly enabling the increase in the density of intelligence that they provide.

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                        cover image ACM Other conferences
                        CHINZ '09: Proceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
                        July 2009
                        113 pages
                        ISBN:9781605585741
                        DOI:10.1145/1577782

                        Copyright © 2009 ACM

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                        Association for Computing Machinery

                        New York, NY, United States

                        Publication History

                        • Published: 6 July 2009

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