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Proceedings Paper

Hierarchical multi-touch selection techniques for collaborative geospatial analysis
Author(s): Thomas Butkiewicz; Dong Hyun Jeong; Zachary Wartell; William Ribarsky; Remco Chang
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Paper Abstract

In time critical visual analytic environments collaboration between multiple expert users allows for rapid knowledge discovery and facilitates the sharing of insight. New collaborative display technologies, such as multi-touch tables, have shown great promise as the medium for such collaborations to take place. However, under such new technologies, traditional selection techniques, having been developed for mouse and keyboard interfaces, become inconvenient, inefficient, and in some cases, obsolete. We present selection techniques for multi-touch environments that allow for the natural and efficient selection of complex regions-of-interest within a hierarchical geospatial environment, as well as methods for refining and organizing these selections. The intuitive nature of the touch-based interaction permits new users to quickly grasp complex controls, while the consideration for collaboration coordinates the actions of multiple users simultaneously within the same environment. As an example, we apply our simple gestures and actions mimicking real-world tactile behaviors to increase the usefulness and efficacy of an existing urban growth simulation in a traditional GIS-like environment. However, our techniques are general enough to be applied across a wide range of geospatial analytical applications for both domestic security and military use.

Paper Details

Date Published: 30 April 2009
PDF: 9 pages
Proc. SPIE 7346, Visual Analytics for Homeland Defense and Security, 73460D (30 April 2009); doi: 10.1117/12.819025
Show Author Affiliations
Thomas Butkiewicz, Univ. of North Carolina at Charlotte (United States)
Dong Hyun Jeong, Univ. of North Carolina at Charlotte (United States)
Zachary Wartell, Univ. of North Carolina at Charlotte (United States)
William Ribarsky, Univ. of North Carolina at Charlotte (United States)
Remco Chang, Univ. of North Carolina at Charlotte (United States)

Published in SPIE Proceedings Vol. 7346:
Visual Analytics for Homeland Defense and Security
William J. Tolone; William Ribarsky, Editor(s)

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