• DocumentCode
    1817919
  • Title

    Challenges for information visualization research: Visual quality and data quantity

  • Author

    Shneiderman, Ben

  • Author_Institution
    Univ. of Maryland, College Park, MD, USA
  • fYear
    2012
  • fDate
    Feb. 28 2012-March 2 2012
  • Abstract
    Summary form only given. The remarkable adoption of information visualization has triggered worldwide application from researchers, companies, governments, and news media. The public interest in visually rich infographics has raised questions of how best to present insights and what interactive capabilities enable engaging exploration, while maintaining comprehensibility. Government professionals find that compelling visual presentations inform policy making. At the same time researchers and corporate decision makers have increased expectations of how visual analytics can support important discoveries and business decisions. Our research community is racing to deal with complex data, rich questions, and large-scale data streams. This talk will present some success stories and suggest promising research directions.
  • Keywords
    data analysis; data visualisation; data quantity; information visualization; visual analytics; visual quality; visually rich infographics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2012 IEEE Pacific
  • Conference_Location
    Songdo
  • ISSN
    2165-8765
  • Print_ISBN
    978-1-4673-0863-2
  • Electronic_ISBN
    2165-8765
  • Type

    conf

  • DOI
    10.1109/PacificVis.2012.6183566
  • Filename
    6183566