Measuring the user experience : collecting, analyzing, and presenting usability metrics
著者
書誌事項
Measuring the user experience : collecting, analyzing, and presenting usability metrics
(The Morgan Kaufmann series in interactive technologies)
Elsevier/Morgan Kaufmann, c2008
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Measuring the User Experience provides the first single source of practical information to enable usability professionals and product developers to effectively measure the usability of any product by choosing the right metric, applying it, and effectively using the information it reveals.
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.
This book is recommended for usability professionals, developers, programmers, information architects, interaction designers, market researchers, and students in an HCI or HFE program.
目次
- 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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