Measuring the user experience : coll...
Albert, Bill

 

  • Measuring the user experience : collecting, analyzing, and presenting usability metrics
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    副題名: collecting, analyzing, and presenting usability metrics
    作者: TullisTom,
    合作者: AlbertBill,
    其他團體作者: ScienceDirect (Online service)
    出版地: Amsterdam
    出版者: Elsevier/Morgan Kaufmann;
    出版年: c2008.
    面頁冊數: xvii, 317 p.ill. : 24 cm.;
    集叢名: The Morgan Kaufmann series in interactive technologies
    標題: Measurement. -
    標題: Technology assessment. -
    標題: User interfaces (Computer systems) -
    標題: User interfaces (Computer systems) - Measurement. -
    標題: Electronic books. -
    電子資源: http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123735584
    電子資源: http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123735584
    附註: Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2008.
    摘要註: Effectively measuring the usability of any product requires choosing the right metric, applying it, and effectively using the information it reveals. Measuring the User Experience provides the first single source of practical information to enable usability professionals and product developers to do just that. Authors Tullis and Albert organize dozens of metrics into six categories: performance, issues-based, self-reported, web navigation, derived, and behavioral/physiological. They explore each metric, considering best methods for collecting, analyzing, and presenting the data. They provide step-by-step guidance for measuring the usability of any type of product using any type of technology. . Presents criteria for selecting the most appropriate metric for every case . Takes a product and technology neutral approach . Presents in-depth case studies to show how organizations have successfully used the metrics and the information they revealed.
    ISBN: 0123735580
    內容註: Introduction; Background: Data Types; Sampling Size; Experimental Design; Data Analysis. Overview of Usability Metrics: Types of Metrics; Methods and Metrics; Summative vs. Formative; Choosing Appropriate Metrics. Performance Metrics: Task Success; Completion Time; Errors; Efficiency (clicks, pages, steps, etc.). Issues-Based Metrics: What is a Usability Issue; Severity Ratings; Test Biases; Reporting Positive Issues. Peferential-Based Metrics: Satisfaction; Ease of Use, Usefulness; Expectations; Standard Questionnaires. Web Navigation Metrics: Web-page Click-through Rates; Web page Abandonment Rates. Derived Metrics: Task-based; Aggregate. Observational Metrics: Eye Movements; Stress; Facial Expressions; Other Observational Metrics. Case Studies. Special Topics: Six Sigma and Usability; Automated Methods; Discount Techniques; Server Log Analysis; A/B Testing. Conclusion: Communication to Management; Cost Justification; Industry Trends.
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