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Selected Readings in Vision and Graphics
edited by Luc Van Gool, Gábor Székely, Markus Gross, Bernt Schiele

Volume 28

Andrew Vande Moere
Infoticles: Information Visualization
using Data-Driven Particles
First edition 2004, 250 pages, € 64,00. ISBN 3-89649-943-2

This thesis presents the concept of data-driven particles, coined infoticles (information-particles), which represent the evolutionary characteristics of time-varying abstract datasets. The data-dependent spatial behaviors of the infoticles are determined by rules of Newtonian mechanics and internal interdependencies based upon principles of self-organization. Infoticles convey time-varying informational values by generating cognitively interpretable motion typologies and creating static artifacts with distinct visual features that trace these dynamic behaviors.
The data-driven particle metaphor merges the qualities of information-aesthetics and user engagement with the unique characteristics of immersive virtual reality technology. The infoticle methodology describes the design rationale in the context of diverse scientific disciplines, ranging from human cognition over information architecture to the field of computer graphics. Most of the results are valid for other information visualization applications that query, communicate, process, update and simulate continuous, large streams of time-varying datasets in real time. Four different prototypes that apply time-varying datasets originating from the worlds of finance, stock market quotes and knowledge management demonstrate the versatility of the proposed visualization method. Subsequent detailed analyses reveal the grammatical principles of the emergent visual patterns, and examine their various qualities and potential limitations.

About the Author:
Andrew Vande Moere received the degree of Architectural Engineering at K.U.Leuven University in Belgium in 1998. Shortly thereafter, he finished a post-graduate degree in CAAD at the Swiss Federal Institute of Technology (ETH-Zurich), and became a teaching and research assistant in the same group. His research interests include emergent data representation, ambient information visualization, info-aesthetics, virtual reality technology and ubiquitous computing.

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