• DocumentCode
    1713347
  • Title

    Combining Text and Graphics for Interactive Exploration of Behavior Datasets

  • Author

    Molina, Martin ; Parod, Enrique ; Stent, Amanda

  • Author_Institution
    Dept. of Artificial Intell., Tech. Univ. of Madrid, Madrid, Spain
  • Volume
    2
  • fYear
    2010
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    Modern sensor technologies and simulators applied to large and complex dynamic systems (such as road traffic networks, sets of river channels, etc.) produce large amounts of behavior data that are difficult for users to interpret and analyze. Software tools that generate presentations combining text and graphics can help users understand this data. In this paper we describe the results of our research on automatic multimedia presentation generation (including text, graphics, maps, images, etc.) for interactive exploration of behavior datasets. We designed a novel user interface that combines automatically generated text and graphical resources. We describe the general knowledge-based design of our presentation generation tool. We also present applications that we developed to validate the method, and a comparison with related work.
  • Keywords
    graphical user interfaces; interactive systems; knowledge based systems; multimedia computing; software tools; text analysis; automatic multimedia presentation generation; behavior dataset; complex dynamic system; graphical resource; image; interactive exploration; knowledge-based design; large dynamic system; map; presentation generation tool; sensor technology; software tool; text resource; user interface; Atmospheric modeling; Graphics; Multimedia communication; Planning; Rivers; Three dimensional displays; User interfaces; intelligent user interface; interactive data exploration; multimedia presentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.96
  • Filename
    5671417