Article

A model for the visualization exploration process

Authors:

T. J. Jankun-Kelly,

Michael GertzAuthors Info & Claims

VIS '02: Proceedings of the conference on Visualization '02

Pages 323 - 330

Published: 27 October 2002 Publication History

Abstract

The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has investigated the visualization process itself. The information content of the visualization process---the results, history, and relationships between those results---is addressed by this work. A characterization of the visualization process is discussed, leading to a general model of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used for automated reporting, analysis, or visualized directly. An XML-based language for expressing visualization sessions using the model is also described. These sessions can then be shared and reused by collaborators. The model, along with the XML representation, provides an effective means to utilize the information within the visualization process to further data exploration.

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Cited By

Gotz DSun SCao NKundu RMeyer A(2017)Adaptive Contextualization Methods for Combating Selection Bias during High-Dimensional VisualizationACM Transactions on Interactive Intelligent Systems10.1145/30099737:4(1-23)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3009973
Wang CTao J(2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1111/cgf.12800
Gotz DSun SCao NNichols JMahmud JO'Donovan JConati CZancanaro M(2016)Adaptive ContextualizationProceedings of the 21st International Conference on Intelligent User Interfaces10.1145/2856767.2856779(85-95)Online publication date: 7-Mar-2016
https://dl.acm.org/doi/10.1145/2856767.2856779
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Index Terms

A model for the visualization exploration process
1. Computing methodologies
  1. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design theory, concepts and paradigms

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Information & Contributors

Information

Published In

cover image ACM Conferences

VIS '02: Proceedings of the conference on Visualization '02

October 2002

583 pages

ISBN:0780374983

Conference Chairs:
Hanspeter Pfister
Mitsubishi Electric Research Laboratories
,
Mike Bailey
San Diego Supercomputer Center
,
Program Chairs:
J. Edward Swan
The Naval Research Laboratory
,
Jim Thomas
Pacific Northwest National Laboratory

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ITCVG: IEEE Computer Society Technical Committee on Visualization and Graphics

Publisher

IEEE Computer Society

United States

Publication History

Published: 27 October 2002

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VIS02: IEEE Visualization 2002

October 27 - November 1, 2002

Massachusetts, Boston

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Cited By

Gotz DSun SCao NKundu RMeyer A(2017)Adaptive Contextualization Methods for Combating Selection Bias during High-Dimensional VisualizationACM Transactions on Interactive Intelligent Systems10.1145/30099737:4(1-23)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3009973
Wang CTao J(2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1111/cgf.12800
Gotz DSun SCao NNichols JMahmud JO'Donovan JConati CZancanaro M(2016)Adaptive ContextualizationProceedings of the 21st International Conference on Intelligent User Interfaces10.1145/2856767.2856779(85-95)Online publication date: 7-Mar-2016
https://dl.acm.org/doi/10.1145/2856767.2856779
Javed WElmqvist NScheuermann G(2013)ExPlatesProceedings of the 15th Eurographics Conference on Visualization10.1111/cgf.12131(441-450)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1111/cgf.12131
Lu JWen ZPan SLai J(2011)Analytic trailsProceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV10.5555/2042283.2042311(256-273)Online publication date: 5-Sep-2011
https://dl.acm.org/doi/10.5555/2042283.2042311
Spindler MTominski CSchumann HDachselt RKrüger ASchöning JWigdor DHaller M(2010)Tangible views for information visualizationACM International Conference on Interactive Tabletops and Surfaces10.1145/1936652.1936684(157-166)Online publication date: 7-Nov-2010
https://dl.acm.org/doi/10.1145/1936652.1936684
Gotz DWen ZConati CBauer MOliver NWeld D(2009)Behavior-driven visualization recommendationProceedings of the 14th international conference on Intelligent user interfaces10.1145/1502650.1502695(315-324)Online publication date: 8-Feb-2009
https://dl.acm.org/doi/10.1145/1502650.1502695
Streit APham BBrown R(2008)A Spreadsheet Approach to Facilitate Visualization of Uncertainty in InformationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.7042614:1(61-72)Online publication date: 1-Jan-2008
https://dl.acm.org/doi/10.1109/TVCG.2007.70426
Schirski MBischof CKuhlen T(2007)Interactive exploration of large data in hybrid visualization environmentsProceedings of the 13th Eurographics conference on Virtual Environments10.5555/2386042.2386054(69-76)Online publication date: 15-Jul-2007
https://dl.acm.org/doi/10.5555/2386042.2386054
Phan DPaepcke AWinograd THealey CLank E(2007)Progressive multiples for communication-minded visualizationProceedings of Graphics Interface 200710.1145/1268517.1268554(225-232)Online publication date: 28-May-2007
https://dl.acm.org/doi/10.1145/1268517.1268554
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