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
Link To Document :
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