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

    19662_downloaded_stream_180.pdf (5.276Mb)
    Access Status
    Open access
    Authors
    Chang, Elizabeth
    Dillon, Tharam S.
    Date
    2006
    Type
    Journal Article
    
    Metadata
    Show full item record
    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.
    Source Title
    IEEE Transactions on Systems, Man, and Cybernetics
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2006 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/44707
    Collection
    • Curtin Research Publications
    Abstract

    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.

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