Title page for ETD etd-011206-232808

Document Type	thesis
Author Name	Lloyd, Natasha
Email Address	nblloyd at gmail.com
URN	etd-011206-232808
Title	Clutter Measurement and Reduction for Enhanced Information Visualization
Degree	MS
Department	Computer Science
Advisors	Matthew Ward, Advisor Emmanuel Agu, Reader Michael Gennert, Department Head
Keywords	visual clutter measurement reduction information visualization ait traffic
Date of Presentation/Defense	2005-12-01
Availability	unrestricted
Abstract The effectiveness of information visualization largely depends on the ease and accuracy with which users can access the information. Visual clutter in a display can detract from a user's ability to properly read the information. An ideal visualization needs to maximize the visibility of patterns and structure and minimize the clutter present. Thus far, there has been surprisingly little work done in finding quantitative ways to measure clutter in information visualizations. The goal of this project was to create clutter measurement and reduction techniques that minimize the presence of visual clutter and maximize a user's ability to accurately read the data. These methods were tested and evaluated on a number of visualizations depicting domestic air traffic data.
Files	nlloyd.pdf

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