Article

prefuse: a toolkit for interactive information visualization

Authors:

Stuart K. Card, and

James A. LandayAuthors Info & Claims

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2005

Pages 421 - 430

https://doi.org/10.1145/1054972.1055031

Published: 02 April 2005 Publication History

Abstract

Although information visualization (infovis) technologies have proven indispensable tools for making sense of complex data, wide-spread deployment has yet to take hold, as successful infovis applications are often difficult to author and require domain-specific customization. To address these issues, we have created prefuse, a software framework for creating dynamic visualizations of both structured and unstructured data. prefuse provides theoretically-motivated abstractions for the design of a wide range of visualization applications, enabling programmers to string together desired components quickly to create and customize working visualizations. To evaluate prefuse we have built both existing and novel visualizations testing the toolkit's flexibility and performance, and have run usability studies and usage surveys finding that programmers find the toolkit usable and effective.

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Index Terms

prefuse: a toolkit for interactive information visualization

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cover image ACM Conferences

CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2005

928 pages

ISBN:1581139985

DOI:10.1145/1054972

Conference Chairs:
Wendy Kellogg
IBM T. J. Watson Research Center
,
Shumin Zhai
IBM Almaden Research Center
,
General Chair:
Gerrit van der Veer
Vrije Universiteit, The Netherlands
,
Program Chair:
Carolyn Gale
Stanford University, USA

Copyright © 2005 ACM.

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Published: 02 April 2005

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CHI '05 Paper Acceptance Rate 93 of 372 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Vieth AKroes TThijssen Jvan Lew BEggermont JBasu SEisemann EVilanova AHöllt TLelieveldt B(2024)ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332658230:1(175-185)Online publication date: 1-Jan-2024
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