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dc.contributor.authorChang, Elizabeth
dc.contributor.authorDillon, Tharam S.
dc.identifier.citationChang, Elizabeth and Dillon, Tharam. 2006. A usability-evaluation metric based on a soft-computing approach. IEEE Transactions on Systems, Man, and Cybernetics 36 (2): 356-372.

Usability of software should measure both the user preference and user performance. The notion of usability involves several dimensions. These dimensions include: system feedback, consistency, error prevention, performance/efficiency, user like/dislike, and error recovery. Each of these dimensions is characterized by fuzzy aspects and linguistic terms. This paper develops a model for each of the dimensions using fuzzy-set theory. It then uses the Takagi-Sugeno fuzzy-inference approach for developing an overall measure of usability. Results are presented for several different user interfaces.

dc.publisherIEEE Computer Society
dc.subjectfuzzy systems
dc.subjectuser interfaces
dc.titleA usability-evaluation metric based on a soft-computing approach
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Systems, Man, and Cybernetics

Copyright 2006 IEEE


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curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems

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