• DocumentCode
    1864348
  • Title

    Flexible widget layout with fuzzy constraint satisfaction

  • Author

    Yanagida, Takuto ; Nonaka, Hidetoshi

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    387
  • Lastpage
    392
  • Abstract
    We propose a new solution for the flexible widget layout (FWL) problem, formulating this problem as a fuzzy constraint satisfaction problem (FCSP) in the field of artificial intelligence. Widget layout performed by computers is one of the most important challenges for automatic generation of graphical user interfaces (GUIs). In the field of model-based user interface design, the widget layout is more complicated because the process of selecting widgets is needed. The FWL, we named, is the automatic GUI generation, which requires both (1) deciding which widget types and their alignments are used and (2) completing the layout in a certain time especially when the system generates them in run time. Our system automatically selects appropriate widgets and lays them out in certain rectangles. We formulate the desirability of the selection straightforward as fuzzy constraints; therefore, we can utilize existing technique of FCSP for the FWL. We divide the layout process into three phases, and using an existing FCSP algorithm, we realize the layout in a short time enough not to keep users of the generated GUI waiting.
  • Keywords
    artificial intelligence; fuzzy set theory; graphical user interfaces; artificial intelligence; flexible widget layout problem; fuzzy constraint satisfaction problem; graphical user interfaces; model-based user interface design; Artificial intelligence; Computer applications; Computer industry; Computer interfaces; Graphical user interfaces; Home appliances; Information science; Layout; Usability; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on
  • Conference_Location
    Muroran
  • Print_ISBN
    978-1-4244-3782-5
  • Electronic_ISBN
    978-4-9904-2590-6
  • Type

    conf

  • DOI
    10.1109/SMCIA.2008.5045995
  • Filename
    5045995