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Issue No.04 - July-Aug. (2013 vol.33)
pp: 38-48
K. Reda , Univ. of Illinois at Chicago, Chicago, IL, USA
A. Febretti , Univ. of Illinois at Chicago, Chicago, IL, USA
A. Knoll , Univ. of Texas at Austin, Austin, TX, USA
J. Aurisano , Univ. of Illinois at Chicago, Chicago, IL, USA
J. Leigh , Univ. of Illinois at Chicago, Chicago, IL, USA
A. Johnson , Univ. of Illinois at Chicago, Chicago, IL, USA
ABSTRACT
Constructing integrative visualizations that simultaneously cater to a variety of data types is challenging. Hybrid-reality environments blur the line between virtual environments and tiled display walls. They incorporate high-resolution, stereoscopic displays, which can be used to juxtapose large, heterogeneous datasets while providing a range of naturalistic interaction schemes. They thus empower designers to construct integrative visualizations that more effectively mash up 2D, 3D, temporal, and multivariate datasets.
INDEX TERMS
Data visualization, Visualization, Stereo image processing, Monitoring, Visual analytics, Three-dimensional displays,computer graphics, Data visualization, Visualization, Stereo image processing, Monitoring, Navigation, Three-dimensional displays, Educational institutions, 3D visualization, large high-resolution displays, integrative visualization, immersive visualization, hybrid-reality environments
CITATION
K. Reda, A. Febretti, A. Knoll, J. Aurisano, J. Leigh, A. Johnson, M. E. Papka, M. Hereld, "Visualizing Large, Heterogeneous Data in Hybrid-Reality Environments", IEEE Computer Graphics and Applications, vol.33, no. 4, pp. 38-48, July-Aug. 2013, doi:10.1109/MCG.2013.37
REFERENCES
1. C. Andrews, A. Endert, and C. North, “Space to Think: Large High-Resolution Displays for Sense­making,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 10), ACM, 2010 pp. 55-64.
2. R. Ball and C. North, “Effects of Tiled High-Resolution Displays on Basic Visualization and Navigation Tasks,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 05), 2005, ACM, pp. 1196-1199.
3. B. Yost, Y. Haciahmetoglu, and C. North, “Beyond Visual Acuity: The Perceptual Scalability of In­formation Visualizations for Large Displays,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 07), ACM, 2007 pp. 101-110.
4. C. Cruz et al., “Scientists in Wonderland: A Report on Visualization Applications in the CAVE Virtual Reality Environment,” Proc. IEEE Symp. Research Frontiers in Virtual Reality, IEEE, 1993 pp. 59-66.
5. J. Leigh et al., “Scalable Resolution Display Walls,” Proc. IEEE, vol. 101, no. 1, 2012 pp. 115-129.
6. B. Alper et al., “Stereoscopic Highlighting: 2D Graph Visualization on Stereo Displays,” IEEE Trans. Visualization and Computer Graphics, vol. 17, no. 12, 2011 pp. 2325-2333.
7. C. Ware and P. Mitchell, “Visualizing Graphs in Three Dimensions,” ACM Trans. Applied Perception, vol. 5, no. 1, 2008, article 2.
8. C. Ware and G. Franck, “Evaluating Stereo and Motion Cues for Visualizing Information Nets in Three Dimensions,” ACM Trans. Graphics, vol. 15, no. 2, 1996 pp. 121-140.
9. D. Bowman and R. McMahan, “Virtual Reality: How Much Immersion Is Enough?,” Computer, vol. 40, no. 7, 2007 pp. 36-43.
10. R. Ball, C. North, and D. Bowman, “Move to Improve: Promoting Physical Navigation to Increase User Performance with Large Displays,” Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI 07), ACM, 2007 pp. 191-200.
11. K. Reda et al., “Scalable Visual Queries for Data Exploration on Large, High-Resolution 3D Displays,” Proc. 2012 SC Companion: High Performance Comput­ing, Networking Storage and Analysis, IEEE CS, 2012 pp. 196-205.
12. A. Knoll et al., “Uncertainty Classification of Molecu­lar Interfaces,” Int'l J. Uncertainty Quantification, vol. 3, no. 2, 2013 pp. 157-169.
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