Interactive Volumetric Information Visualization for
Document Corpus Management
Published in the IEEE Computer Graphics and Applications,
September 1996.
- David S. Ebert,
Computer Science and Electrical Engineering Department,
University of Maryland Baltimore County.
- Christopher D. Shaw,
Computer Science Department, University of Regina.
- Amen Zwa,
Computer Science and Electrical Engineering Department,
University of Maryland Baltimore County.
- Ethan L. Miller,
Computer Science and Electrical Engineering Department,
University of Maryland Baltimore County.
- D. Aaron Roberts,
NASA Goddard Space Flight Center.
Abstract
This paper describes a minimally immersive three-dimensional volumetric
interactive information visualization system for management and
analysis of document corpora.
The system, SFA, uses glyph-based volume rendering, enabling more
complex data relationships and information attributes to be visualized
than traditional 2D and surface-based visualization systems.
Two-handed interaction using three-space magnetic trackers and
stereoscopic viewing are combined to produce a minimally immersive
interactive system that enhances the user's three-dimensional
perception of the information space.
This new system capitalizes on the human visual system's pre-attentive
learning capabilities to quickly analyze the displayed information.
We describe the usefulness of this system for the analysis and
visualization of document similarity within a corpus of textual documents.
SFA allows the three-dimensional volumetric visualization,
manipulation, navigation, and analysis of multidimensional, time-varying
information spaces, increasing analysis efficiency and the quantity
and clarity of information conveyed from the visualization as compared
to traditional 2D information systems.
Related Publications
-
Minimally-immersive Interactive Volumetric
Information Visualization.
Ebert, D., Shaw, C., Zwa, A., Miller, E., Roberts, A.
-
Two-handed Interactive Stereoscopic Visualization.
Ebert, D., Shaw, C., Zwa, A., Starr, C.
(IEEE Visualization '96 Conference.)
-
Multiresolution Text Analysis.
Zwa, A., Ebert, D., Miller, E.
(
Workshop on New Paradigms in Information Visualization
and Manipulation, ACM CIKM '96 Conference.)
David S. Ebert
(ebert@cs.umbc.edu)
Last modified: 21 November 1996
