Sessions » InfoVis Overview & Topics
The IEEE Information Visualization Conference (IEEE InfoVis) is the premier meeting in the field of information visualization. Computer- based information visualization centers around helping people explore or explain abstract data through interactive software that exploits the capabilities of the human perceptual system. A key challenge in information visualization is designing cognitively useful spatial mappings ofabstract datasets that are not inherently spatial, and accompanying the mappings with interaction techniques that allow people to intuitively explore the data. Information visualization draws on the intellectual history of several traditions, including computer graphics, human-computer interaction, cognitive psychology, semiotics, graphic design, statistical graphics, cartography, and art. The synthesis of relevant ideas from these fields with new methodologies and techniques made possible by interactive computation are critical for helping people keep pace with the torrents of information confronting them. We invite you to participate by joining us in Atlantic City, New Jersey, in Atlantic City, New Jersey, October 11 - 16, 2009.

IEEE InfoVis 2009 is part of IEEE VisWeek 2009 which also features:

IEEE Vis 2009  IEEE Visualization Conference
IEEE VAST 2009  IEEE Symposium on Visual Analytics Science and Technology

We solicit papers in the traditional core of the visualization area. Topics of interest include, but are not restricted to:

  • Information visualizations, techniques and interaction methods for
    • graphs and trees and other relational data
    • high-dimensional data and dimensionality reduction,
    • social and ambient information,
    • text and documents,
    • visualization for the masses,
    • causality and uncertainty data
    • time series data, and
    • any other non-spatial data or spatial data that is visualized with a new spatial mapping
  • Information visualization interaction techniques such as,
    • icon- and glyph-based,
    • focus + context,
    • animation,
    • zooming and navigation,
    • linking + brushing,
    • coordinated multiple views,
    • data labeling, editing and annotation,
    • scalability,
    • collaborative, co-located and distributed
    • manipulation and deformation
    • visual data mining and visual knowledge discovery
  • Information visualization comprehension issues as relate to such factors as:
    • visual design and aesthetics,
    • cognition and perception,
    • sonification,
    • presentation and dissemination,
    • mobile and ubiquitous
  • Information visualization methodologies such as:
    • visualization systems,
    • design studies and case studies,
    • novel algorithms and mathematics,
    • evaluation methodologies discussions and frameworks,
    • task and requirements analysis,
    • metrics and benchmarks,
    • qualitative and quantitative evaluation,
    • laboratory and field studies,
    • usability studies and focus groups,
    • taxonomies and models
  • Information visualization application areas such as:
    • illustrative visualizations,
    • statistical graphics,
    • geo-visualizations,
    • bio-visualizations

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