Faculty Advisor

Matthew Ward

Faculty Advisor

Emmanuel Agu

Faculty Advisor

Michael Gennert

Identifier

etd-011206-232808

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.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Computer Science

Project Type

Thesis

Date Accepted

2006-01-12

Accessibility

Unrestricted

Subjects

visual, clutter, measurement, reduction, information, visualization, ait traffic, Image processing, Digital techniques, Information display systems, Air traffic control, Automation

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