Choosing appropriate tools by means of intelligent decision support
作者:
John Darzentas,
Jenny Darzentas,
Thomas Spyrou,
期刊:
Journal of Decision Systems
(Taylor Available online 1997)
卷期:
Volume 6,
issue 1
页码: 45-61
ISSN:1246-0125
年代: 1997
DOI:10.1080/12460125.1997.10511705
出版商: Taylor & Francis Group
关键词: intelligent decision support systems;technology transfer;human computer interaction;systèmes interactifs aide a la decision intelligents;transfert des résultats de recherches technologiques;dialogue homme-machine
数据来源: Taylor
摘要:
This paper examines an increasingly common problem: that of understanding which tool or tools out of an array is the most appropriate for a problem owner to apply to solve his problem. Several attempts at providing decision support for such cases have been attempted. This paper briefly surveys this work and presents the use of an implemented system which is for use by designers of computer systems who seek to use tools and techniques for improving the usability of the systems they design. Besides aiding the user to choose tools appropriate for helping with his problem, the system has also shown to be useful as a learning system, as well as a transfer mechanism for conveying the results of laboratory research into the real world.
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