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Measuring the user experience = coll...
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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
正題名/作者:
Measuring the user experience/ Tom Tullis, Bill Albert.
其他題名:
collecting, analyzing, and presenting usability metrics /
作者:
Tullis, Tom
其他作者:
Albert, Bill
出版者:
Amsterdam ;Elsevier/Morgan Kaufmann, : c2008.,
面頁冊數:
xvii, 317 p. :ill. ; : 24 cm.;
叢書名:
The Morgan Kaufmann series in interactive technologies
標題:
User interfaces (Computer systems) -
電子資源:
An electronic book accessible through the World Wide Web; click for information
ISBN:
9780123735584
Measuring the user experience = collecting, analyzing, and presenting usability metrics /
Tullis, Tom
Measuring the user experience
collecting, analyzing, and presenting usability metrics /[electronic resource] :Tom Tullis, Bill Albert. - Amsterdam ;Elsevier/Morgan Kaufmann,c2008. - xvii, 317 p. :ill. ;24 cm. - The Morgan Kaufmann series in interactive technologies.
Includes bibliographical references and index.
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.
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.
Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2008.
Mode of access: World Wide Web.
ISBN: 9780123735584
Source: 133788:133914Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
486867
User interfaces (Computer systems)
Index Terms--Genre/Form:
498447
Electronic books.
LC Class. No.: QA76.9.U83 / T95 2008eb
Dewey Class. No.: 303.48/34
Measuring the user experience = collecting, analyzing, and presenting usability metrics /
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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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