Fuzzy command grammars for intelligent interface design

Human-computer interactions involve an input language with which users input their commands and a command language that is anticipated and recognized by the system. In general, the input language is a function of the command language, while the command language can be any language defined by the sys...

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Veröffentlicht in:IEEE transactions on systems, man, and cybernetics Jg. 22; H. 5; S. 1124 - 1131
1. Verfasser: Senay, H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.09.1992
Institute of Electrical and Electronics Engineers
Schlagworte:
Applied sciences
Command languages
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Equations
Exact sciences and technology
Humans
Jacobian matrices
Man machine systems
Manipulators
Motion control
Prosthetics
Robot kinematics
Robotics and automation
Software
Command language
Fuzzy set
User interface
Human computer-interaction
Intelligent interface design
Input language
ISSN:0018-9472, 2168-2909
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Zusammenfassung:Human-computer interactions involve an input language with which users input their commands and a command language that is anticipated and recognized by the system. In general, the input language is a function of the command language, while the command language can be any language defined by the system designer. The relationship between these languages is modeled using fuzzy set theory, and a fuzzy command grammar that forms a coherent framework for intelligent human-computer interface designs is defined. To test the validity of these hypotheses, an interface was designed, using fuzzy command grammars, that is consistent, context-dependent, user-sensitive, adaptive, and responsive in interactions; and provides user and system initiated help; and that reduces unnecessary interruptions in dialogues by error correction. Experimental results indicate that a fuzzy command grammar is a viable alternative for designing such interfaces.< >
ISSN:0018-9472
2168-2909
DOI:10.1109/21.179849