A usability-evaluation metric based on a soft-computing approach
|dc.contributor.author||Dillon, Tharam S.|
|dc.identifier.citation||Chang, 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.publisher||IEEE Computer Society|
|dc.title||A usability-evaluation metric based on a soft-computing approach|
|dcterms.source.title||IEEE Transactions on Systems, Man, and Cybernetics|
Copyright 2006 IEEE
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|curtin.department||Centre for Extended Enterprises and Business Intelligence|
|curtin.faculty||Curtin Business School|
|curtin.faculty||School of Information Systems|