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
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.
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