EPSRC Reference: |
GR/A01275/02 |
Title: |
(AF)FOUNDATIONS & METHODS FOR VISUALISING LARGE-SCALE AND TIME EVOLVING DATA |
Principal Investigator: |
Duke, Professor D |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Computing |
Organisation: |
University of Leeds |
Scheme: |
Advanced Fellowship (Pre-FEC) |
Starts: |
01 April 2004 |
Ends: |
31 August 2005 |
Value (£): |
79,897
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EPSRC Research Topic Classifications: |
Human-Computer Interactions |
Image & Vision Computing |
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EPSRC Industrial Sector Classifications: |
Creative Industries |
Information Technologies |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The aims of the proposed research are to reconstruct existing methods for rendering information, and develop novel techniques for working with large-scale and dynamic data spaces, by establishing and utilising a theoretical account of human information processing within complex visualisation systems. The theory will build on the proposer's interdisciplinary expertise in using models of human information processing systems to understand interaction, and will be augmented with explicit consideration of user tasks, and the representation of abstract information. Ongoing collaborative work on software tools for large-scale graph visualisation will provide a practical base from which to test and evaluate the theory. As visualisation progresses to consider domains such as computer networks, and to accommodate dynamic data, it has become important to understand why different rendering techniques or styles of representation work, and what new forms might be developed along cognitive principles. This involves replacing heuristics about visual representation and composition with principles based on how users process visual information and how their tasks can be supported within large scale dynamic information spaces. In the process, new methods for rendering abstract data sets and providing navigation cues will be developed and evaluated.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.leeds.ac.uk |