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Details of Grant 

EPSRC Reference: GR/A01275/02
Title: (AF)FOUNDATIONS & METHODS FOR VISUALISING LARGE-SCALE AND TIME EVOLVING DATA
Principal Investigator: Duke, Professor D
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Computing
Organisation: University of Leeds
Scheme: Advanced Fellowship (Pre-FEC)
Starts: 01 April 2004 Ends: 31 August 2005 Value (£): 79,897
EPSRC Research Topic Classifications:
Human-Computer Interactions Image & Vision Computing
EPSRC Industrial Sector Classifications:
Creative Industries Information Technologies
Related Grants:
Panel History:  
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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Organisation Website: http://www.leeds.ac.uk