A usability-evaluation metric based on a soft-computing approach

Authors:
E. Chang;T. S. Dillon
Affiliations:
Sch. of Inf. Syst., Curtin Univ. of Technol., Perth, WA, Australia;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Year:
2006

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Cluster Computing

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Abstract

Usability of software should measure both 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 are 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.