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IEEE InfoVis 2015 - IEEE Information Visualization Conference

co-located at VIS with the annual IEEE Conference on Visual Analytics Science and Technology and the IEEE Information Visualization Conference.

Was Conference
Wann 25.10.2015 bis
30.10.2015
Wo Chicago, Illinois, USA
Name Melanie Tory, Bongshin Lee, Kwan-Liu Ma (Conference Chairs)
Kontakt-E-Mail
Termin übernehmen vCal
iCal

Topics include:

  • Information visualization techniques for
    • graphs and trees and other relational or structured data
    • high-dimensional data and dimensionality reduction
    • multi-variate data and heterogeneous data
    • personal or social data (health, energy, finance, email, etc.)
    • text and documents
    • non-numeric data (categorical data, nominal data, etc.)
    • non-expert audiences
    • causality and uncertainty data
    • time series data
    • any other non-spatial data
    • spatial data that is visualized with a new spatial mapping
    • streaming or time-varying data
    • very large data sets (scalability)
  • Techniques for interacting with visualizations or supporting the data analysis process, including
    • recordkeeping, sensemaking, and storytelling
    • collaboration support, either co-located or distributed
    • integration of visualization with other software tools
    • Post WIMP interactions (pen, touch, speech, gestures, etc.)
    • focus + context methods
    • zooming, navigation and distortion techniques
    • brushing and linking
    • coordinated multiple views
    • data labeling, editing and annotation
  • Fit of visualizations into the context of use, including
    • visual design and aesthetics
    • minimal attention contexts, e.g. ambient displays
    • mobile and ubiquitous
    • public environments
  • Information visualization fundamentals and methodologies
    • visualization systems
    • novel algorithms and mathematics
    • taxonomies and models
    • research methodology, discussions and frameworks
    • cognition and perception issues
  • Evaluation
    • task and requirements analysis
    • metrics and benchmarks
    • qualitative and quantitative evaluation
    • laboratory and field studies
    • novel evaluation methods
    • usability studies and focus groups
    • case studies
  • Applied information visualization
    • reports of information visualization in domains where it has impact
    • design studies

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