• DocumentCode
    3032946
  • Title

    Adaptive recognition of implicit structures in human-organized layouts

  • Author

    Igarashi, Takeo ; Matsuoka, Satoshi ; Masui, Toshiyuki

  • Author_Institution
    Dept. of Inf. Eng., Tokyo Univ., Japan
  • fYear
    1995
  • fDate
    5-9 Sep 1995
  • Firstpage
    258
  • Lastpage
    266
  • Abstract
    Card-handling using a hypertext editor can be a powerful methodology for the generation of ideas or understanding complex problems. To support such an activity, recognizing the implicit structure in the arrangement of cards would be useful, but, because the structures to be recognized are by nature ambiguous and highly dependent on user-specific perception, it is difficult for a conventional rule-based spatial parsing algorithm to achieve this task. We propose techniques for building a spatial parser suitable for finding such ambiguous structures based on the mechanics of human perception. Moreover, our parser is adaptively customized to reflect a particular user´s preferences through an interactive suggestion process, supported by the application of a genetic algorithm
  • Keywords
    adaptive systems; genetic algorithms; grammars; graphical user interfaces; human factors; hypermedia; idea processors; interactive systems; pattern recognition; uncertainty handling; visual languages; adaptive customization; adaptive recognition; ambiguous structures; card handling; complex problem understanding; genetic algorithm; human perception; human-organized layouts; hypertext editor; ideas generation; implicit structures; interactive suggestion process; rule-based spatial parsing algorithm; spatial parser; user preferences; user-specific perception; Buildings; Displays; Humans; Information management; Layout; Marine vehicles; Power engineering and energy; Power generation; Prototypes; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages, Proceedings., 11th IEEE International Symposium on
  • Conference_Location
    Darmstadt
  • ISSN
    1049-2615
  • Print_ISBN
    0-8186-7045-2
  • Type

    conf

  • DOI
    10.1109/VL.1995.520817
  • Filename
    520817