ISBN:
9780123735584
,
9780080558264
Language:
English
Edition:
Online-Ressource
Series Statement:
Interactive Technologies
DDC:
303.4834
Keywords:
Measurement
;
Technology assessment
;
User interfaces (Computer systems)
;
User interfaces (Computer systems) - Measurement
;
User interfaces (Computer systems)
;
Mensch-Maschine-Schnittstelle
;
Benutzerfreundlichkeit
;
Bewertung
;
Datenerhebung
Abstract:
Front Cover; Measuring the User Experience; Copyright Page; Table of Contents; Preface; Acknowledgments; CHAPTER 1 Introduction; 1.1 Organization of This Book; 1.2 What Is Usability?; 1.3 Why Does Usability Matter?; 1.4 What Are Usability Metrics?; 1.5 The Value of Usability Metrics; 1.6 Ten Common Myths about Usability Metrics; CHAPTER 2 Background; 2.1 Designing a Usability Study; 2.1.1 Selecting Participants; 2.1.2 Sample Size; 2.1.3 Within-Subjects or Between-Subjects Study; 2.1.4 Counterbalancing; 2.1.5 Independent and Dependent Variables; 2.2 Types of Data; 2.2.1 Nominal Data
Abstract:
2.2.2 Ordinal Data2.2.3 Interval Data; 2.2.4 Ratio Data; 2.3 Metrics and Data; 2.4 Descriptive Statistics; 2.4.1 Measures of Central Tendency; 2.4.2 Measures of Variability; 2.4.3 Confidence Intervals; 2.5 Comparing Means; 2.5.1 Independent Samples; 2.5.2 Paired Samples; 2.5.3 Comparing More Than Two Samples; 2.6 Relationships between Variables; 2.6.1 Correlations; 2.7 Nonparametric Tests; 2.7.1 The Chi-Square Test; 2.8 Presenting Your Data Graphically; 2.8.1 Column or Bar Graphs; 2.8.2 Line Graphs; 2.8.3 Scatterplots; 2.8.4 Pie Charts; 2.8.5 Stacked Bar Graphs; 2.9 Summary
Abstract:
CHAPTER 3 Planning a Usability Study3.1 Study Goals; 3.1.1 Formative Usability; 3.1.2 Summative Usability; 3.2 User Goals; 3.2.1 Performance; 3.2.2 Satisfaction; 3.3 Choosing the Right Metrics: Ten Types of Usability Studies; 3.3.1 Completing a Transaction; 3.3.2 Comparing Products; 3.3.3 Evaluating Frequent Use of the Same Product; 3.3.4 Evaluating Navigation and/or Information Architecture; 3.3.5 Increasing Awareness; 3.3.6 Problem Discovery; 3.3.7 Maximizing Usability for a Critical Product; 3.3.8 Creating an Overall Positive User Experience; 3.3.9 Evaluating the Impact of Subtle Changes
Abstract:
3.3.10 Comparing Alternative Designs3.4 Other Study Details; 3.4.1 Budgets and Timelines; 3.4.2 Evaluation Methods; 3.4.3 Participants; 3.4.4 Data Collection; 3.4.5 Data Cleanup; 3.5 Summary; CHAPTER 4 Performance Metrics; 4.1 Task Success; 4.1.1 Collecting Any Type of Success Metric; 4.1.2 Binary Success; 4.1.3 Levels of Success; 4.1.4 Issues in Measuring Success; 4.2 Time-on-Task; 4.2.1 Importance of Measuring Time-on-Task; 4.2.2 How to Collect and Measure Time-on-Task; 4.2.3 Analyzing and Presenting Time-on-Task Data; 4.2.4 Issues to Consider When Using Time Data; 4.3 Errors
Abstract:
4.3.1 When to Measure Errors4.3.2 What Constitutes an Error?; 4.3.3 Collecting and Measuring Errors; 4.3.4 Analyzing and Presenting Errors; 4.3.5 Issues to Consider When Using Error Metrics; 4.4 Efficiency; 4.4.1 Collecting and Measuring Efficiency; 4.4.2 Analyzing and Presenting Efficiency Data; 4.4.3 Efficiency as a Combination of Task Success and Time; 4.5 Learnability; 4.5.1 Collecting and Measuring Learnability Data; 4.5.2 Analyzing and Presenting Learnability Data; 4.5.3 Issues to Consider When Measuring Learnability; 4.6 Summary; CHAPTER 5 Issues-Based Metrics
Abstract:
5.1 Identifying Usability Issues
Abstract:
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
Description / Table of Contents:
Front Cover; Measuring the User Experience; Copyright Page; Table of Contents; Preface; Acknowledgments; CHAPTER 1 Introduction; 1.1 Organization of This Book; 1.2 What Is Usability?; 1.3 Why Does Usability Matter?; 1.4 What Are Usability Metrics?; 1.5 The Value of Usability Metrics; 1.6 Ten Common Myths about Usability Metrics; CHAPTER 2 Background; 2.1 Designing a Usability Study; 2.1.1 Selecting Participants; 2.1.2 Sample Size; 2.1.3 Within-Subjects or Between-Subjects Study; 2.1.4 Counterbalancing; 2.1.5 Independent and Dependent Variables; 2.2 Types of Data; 2.2.1 Nominal Data
Description / Table of Contents:
2.2.2 Ordinal Data2.2.3 Interval Data; 2.2.4 Ratio Data; 2.3 Metrics and Data; 2.4 Descriptive Statistics; 2.4.1 Measures of Central Tendency; 2.4.2 Measures of Variability; 2.4.3 Confidence Intervals; 2.5 Comparing Means; 2.5.1 Independent Samples; 2.5.2 Paired Samples; 2.5.3 Comparing More Than Two Samples; 2.6 Relationships between Variables; 2.6.1 Correlations; 2.7 Nonparametric Tests; 2.7.1 The Chi-Square Test; 2.8 Presenting Your Data Graphically; 2.8.1 Column or Bar Graphs; 2.8.2 Line Graphs; 2.8.3 Scatterplots; 2.8.4 Pie Charts; 2.8.5 Stacked Bar Graphs; 2.9 Summary
Description / Table of Contents:
CHAPTER 3 Planning a Usability Study3.1 Study Goals; 3.1.1 Formative Usability; 3.1.2 Summative Usability; 3.2 User Goals; 3.2.1 Performance; 3.2.2 Satisfaction; 3.3 Choosing the Right Metrics: Ten Types of Usability Studies; 3.3.1 Completing a Transaction; 3.3.2 Comparing Products; 3.3.3 Evaluating Frequent Use of the Same Product; 3.3.4 Evaluating Navigation and/or Information Architecture; 3.3.5 Increasing Awareness; 3.3.6 Problem Discovery; 3.3.7 Maximizing Usability for a Critical Product; 3.3.8 Creating an Overall Positive User Experience; 3.3.9 Evaluating the Impact of Subtle Changes
Description / Table of Contents:
3.3.10 Comparing Alternative Designs3.4 Other Study Details; 3.4.1 Budgets and Timelines; 3.4.2 Evaluation Methods; 3.4.3 Participants; 3.4.4 Data Collection; 3.4.5 Data Cleanup; 3.5 Summary; CHAPTER 4 Performance Metrics; 4.1 Task Success; 4.1.1 Collecting Any Type of Success Metric; 4.1.2 Binary Success; 4.1.3 Levels of Success; 4.1.4 Issues in Measuring Success; 4.2 Time-on-Task; 4.2.1 Importance of Measuring Time-on-Task; 4.2.2 How to Collect and Measure Time-on-Task; 4.2.3 Analyzing and Presenting Time-on-Task Data; 4.2.4 Issues to Consider When Using Time Data; 4.3 Errors
Description / Table of Contents:
4.3.1 When to Measure Errors4.3.2 What Constitutes an Error?; 4.3.3 Collecting and Measuring Errors; 4.3.4 Analyzing and Presenting Errors; 4.3.5 Issues to Consider When Using Error Metrics; 4.4 Efficiency; 4.4.1 Collecting and Measuring Efficiency; 4.4.2 Analyzing and Presenting Efficiency Data; 4.4.3 Efficiency as a Combination of Task Success and Time; 4.5 Learnability; 4.5.1 Collecting and Measuring Learnability Data; 4.5.2 Analyzing and Presenting Learnability Data; 4.5.3 Issues to Consider When Measuring Learnability; 4.6 Summary; CHAPTER 5 Issues-Based Metrics
Description / Table of Contents:
5.1 Identifying Usability Issues
Note:
Description based upon print version of record
Permalink
