Controlling the Usability Evaluation Process under Varying Defect Visibility

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    Abstract

    In cases where usability is a mission critical system quality it is becoming essential to know whether an evaluation study has identified the majority of existing defects. Previous work has shown that procedures for estimating the progress of evaluation studies have to account for variation in defect visibility; otherwise, harmful bias will happen. Here, a statistical model is introduced for estimating the number of not-yet-identified defects in a study. This approach also supports exact confidence intervals and can easily be adapted to estimate the required number of sessions. The method is evaluated and shown to, in most cases, provide accurate measures. A running example illustrates how practitioners may track the progress of their studies and make quantitatively informed decisions on when to finish.
    Original languageEnglish
    Title of host publicationPeople and Computers XXIII Celebrating People and Technology
    Subtitle of host publicationProceedings of HCI 2009, Churchill College Cambridge, UK, 1-5 September 2009
    EditorsAlan F. Blackwell
    PublisherBritish Computer Society
    Pages188-197
    ISBN (Print)978-1-906124-87-8
    Publication statusPublished - 1 Sep 2009
    Event23rd BCS conference on Human Computer Interaction, HCI 2009: People and Computers XXIII Celebrating People and Technology - Cambridge, United Kingdom
    Duration: 1 Sep 20095 Sep 2009
    Conference number: 23

    Conference

    Conference23rd BCS conference on Human Computer Interaction, HCI 2009
    Abbreviated titleHCI
    CountryUnited Kingdom
    CityCambridge
    Period1/09/095/09/09

    Keywords

    • Maximum Likelihood
    • IR-103799
    • Count Data Models
    • METIS-260211
    • Usability Evaluation
    • Process Control
    • Reliability
    • Usability Business

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