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Measuring the User Experience : Collecting, Analyzing, and Presenting Usability Metrics.

Av: Medverkande: Materialtyp: TextTextSerie: Utgivningsuppgift: Chantilly : Elsevier Science & Technology, 2013Datum för upphovsrätt: ©2013Utgåva: 2nd edBeskrivning: 1 online resource (320 pages)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9780124157927
Ämnen: Genre/form: DDK-klassifikation:
  • 303.4834
Onlineresurser:
Innehåll:
Cover -- Title page -- Copyright -- Dedication -- Contents -- Preface to the Second Edition -- Acknowledgments -- Biographies -- CHAPTER 1 Introduction -- 1.1 WHAT IS USER EXPERIENCE -- 1.2 WHAT ARE USER EXPERIENCE METRICS? -- 1.3 THE VALUE OF UX METRICS -- 1.4 METRICS FOR EVERYONE -- 1.5 NEW TECHNOLOGIES IN UX METRICS -- 1.6 TEN MYTHS ABOUT UX METRICS -- CHAPTER 2 Background -- 2.1 INDEPENDENT AND DEPENDENT VARIABLES -- 2.2 TYPES OF DATA -- 2.3 DESCRIPTIVE STATISTICS -- 2.4 COMPARING MEANS -- 2.5 RELATIONSHIPS BETWEEN VARIABLES -- 2.6 NONPARAMETRIC TESTS -- 2.7 PRESENTING YOUR DATA GRAPHICALLY -- 2.8 SUMMARY -- CHAPTER 3 Planning -- 3.1 STUDY GOALS -- 3.2 USER GOALS -- 3.3 CHOOSING THE RIGHT METRICS: TEN TYPES OF USABILITY STUDIES -- 3.4 EVALUATION METHODS -- 3.5 OTHER STUDY DETAILS -- 3.6 SUMMARY -- CHAPTER 4 Performance Metrics -- 4.1 TASK SUCCESS -- 4.2 TIME ON TASK -- 4.3 ERRORS -- 4.4 EFFICIENCY -- 4.5 LEARNABILITY -- 4.6 SUMMARY -- CHAPTER 5 Issue-Based Metrics -- 5.1 WHAT IS A USABILITY ISSUE? -- 5.2 HOW TO IDENTIFY AN ISSUE -- 5.3 SEVERITY RATINGS -- 5.4 ANALYZING AND REPORTING METRICS FOR USABILITY ISSUES -- 5.5 CONSISTENCY IN IDENTIFYING USABILITY ISSUES -- 5.6 BIAS IN IDENTIFYING USABILITY ISSUES -- 5.7 NUMBER OF PARTICIPANTS -- 5.8 SUMMARY -- CHAPTER 6 Self-Reported Metrics -- 6.1 IMPORTANCE OF SELF-REPORTED DATA -- 6.2 RATING SCALES -- 6.3 POST-TASK RATINGS -- 6.4 POSTSESSION RATINGS -- 6.5 USING SUS TO COMPARE DESIGNS -- 6.6 ONLINE SERVICES -- 6.7 OTHER TYPES OF SELF-REPORTED METRICS -- 6.8 SUMMARY -- CHAPTER 7 Behavioral and Physiological Metrics -- 7.1 OBSERVING AND CODING UNPROMPTED VERBAL EXPRESSIONS -- 7.2 EYE TRACKING -- 7.3 MEASURING EMOTION -- 7.4 STRESS AND OTHER PHYSIOLOGICAL MEASURES -- 7.5 SUMMARY -- CHAPTER 8 Combined and Comparative Metrics -- 8.1 SINGLE USABILITY SCORES -- 8.2 USABILITY SCORECARDS.
8.3 COMPARISON TO GOALS AND EXPERT PERFORMANCE -- 8.4 SUMMARY -- CHAPTER 9 Special Topics -- 9.1 LIVE WEBSITE DATA -- 9.2 CARD-SORTING DATA -- 9.3 ACCESSIBILITY DATA -- 9.4 RETURN-ON-INVESTMENT DATA -- 9.5 SUMMARY -- CHAPTER 10 Case Studies -- 10.1 NET PROMOTER SCORES AND THE VALUE OF A GOOD USER EXPERIENCE -- 10.2 MEASURING THE EFFECT OF FEEDBACK ON FINGERPRINT CAPTURE -- 10.3 REDESIGN OF A WEB EXPERIENCE MANAGEMENT SYSTEM -- 10.4 USING METRICS TO HELP IMPROVE A UNIVERSITY PROSPECTUS -- 10.5 MEASURING USABILITY THROUGH BIOMETRICS -- CHAPTER 11 Ten Keys to Success -- 11.1 MAKE DATA COME ALIVE -- 11.2 DON'T WAIT TO BE ASKED TO MEASURE -- 11.3 MEASUREMENT IS LESS EXPENSIVE THAN YOU THINK -- 11.4 PLAN EARLY -- 11.5 BENCHMARK YOUR PRODUCTS -- 11.6 EXPLORE YOUR DATA -- 11.7 SPEAK THE LANGUAGE OF BUSINESS -- 11.8 SHOW YOUR CONFIDENCE -- 11.9 DON'T MISUSE METRICS -- 11.10 SIMPLIFY YOUR PRESENTATION -- References -- Index.
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Cover -- Title page -- Copyright -- Dedication -- Contents -- Preface to the Second Edition -- Acknowledgments -- Biographies -- CHAPTER 1 Introduction -- 1.1 WHAT IS USER EXPERIENCE -- 1.2 WHAT ARE USER EXPERIENCE METRICS? -- 1.3 THE VALUE OF UX METRICS -- 1.4 METRICS FOR EVERYONE -- 1.5 NEW TECHNOLOGIES IN UX METRICS -- 1.6 TEN MYTHS ABOUT UX METRICS -- CHAPTER 2 Background -- 2.1 INDEPENDENT AND DEPENDENT VARIABLES -- 2.2 TYPES OF DATA -- 2.3 DESCRIPTIVE STATISTICS -- 2.4 COMPARING MEANS -- 2.5 RELATIONSHIPS BETWEEN VARIABLES -- 2.6 NONPARAMETRIC TESTS -- 2.7 PRESENTING YOUR DATA GRAPHICALLY -- 2.8 SUMMARY -- CHAPTER 3 Planning -- 3.1 STUDY GOALS -- 3.2 USER GOALS -- 3.3 CHOOSING THE RIGHT METRICS: TEN TYPES OF USABILITY STUDIES -- 3.4 EVALUATION METHODS -- 3.5 OTHER STUDY DETAILS -- 3.6 SUMMARY -- CHAPTER 4 Performance Metrics -- 4.1 TASK SUCCESS -- 4.2 TIME ON TASK -- 4.3 ERRORS -- 4.4 EFFICIENCY -- 4.5 LEARNABILITY -- 4.6 SUMMARY -- CHAPTER 5 Issue-Based Metrics -- 5.1 WHAT IS A USABILITY ISSUE? -- 5.2 HOW TO IDENTIFY AN ISSUE -- 5.3 SEVERITY RATINGS -- 5.4 ANALYZING AND REPORTING METRICS FOR USABILITY ISSUES -- 5.5 CONSISTENCY IN IDENTIFYING USABILITY ISSUES -- 5.6 BIAS IN IDENTIFYING USABILITY ISSUES -- 5.7 NUMBER OF PARTICIPANTS -- 5.8 SUMMARY -- CHAPTER 6 Self-Reported Metrics -- 6.1 IMPORTANCE OF SELF-REPORTED DATA -- 6.2 RATING SCALES -- 6.3 POST-TASK RATINGS -- 6.4 POSTSESSION RATINGS -- 6.5 USING SUS TO COMPARE DESIGNS -- 6.6 ONLINE SERVICES -- 6.7 OTHER TYPES OF SELF-REPORTED METRICS -- 6.8 SUMMARY -- CHAPTER 7 Behavioral and Physiological Metrics -- 7.1 OBSERVING AND CODING UNPROMPTED VERBAL EXPRESSIONS -- 7.2 EYE TRACKING -- 7.3 MEASURING EMOTION -- 7.4 STRESS AND OTHER PHYSIOLOGICAL MEASURES -- 7.5 SUMMARY -- CHAPTER 8 Combined and Comparative Metrics -- 8.1 SINGLE USABILITY SCORES -- 8.2 USABILITY SCORECARDS.

8.3 COMPARISON TO GOALS AND EXPERT PERFORMANCE -- 8.4 SUMMARY -- CHAPTER 9 Special Topics -- 9.1 LIVE WEBSITE DATA -- 9.2 CARD-SORTING DATA -- 9.3 ACCESSIBILITY DATA -- 9.4 RETURN-ON-INVESTMENT DATA -- 9.5 SUMMARY -- CHAPTER 10 Case Studies -- 10.1 NET PROMOTER SCORES AND THE VALUE OF A GOOD USER EXPERIENCE -- 10.2 MEASURING THE EFFECT OF FEEDBACK ON FINGERPRINT CAPTURE -- 10.3 REDESIGN OF A WEB EXPERIENCE MANAGEMENT SYSTEM -- 10.4 USING METRICS TO HELP IMPROVE A UNIVERSITY PROSPECTUS -- 10.5 MEASURING USABILITY THROUGH BIOMETRICS -- CHAPTER 11 Ten Keys to Success -- 11.1 MAKE DATA COME ALIVE -- 11.2 DON'T WAIT TO BE ASKED TO MEASURE -- 11.3 MEASUREMENT IS LESS EXPENSIVE THAN YOU THINK -- 11.4 PLAN EARLY -- 11.5 BENCHMARK YOUR PRODUCTS -- 11.6 EXPLORE YOUR DATA -- 11.7 SPEAK THE LANGUAGE OF BUSINESS -- 11.8 SHOW YOUR CONFIDENCE -- 11.9 DON'T MISUSE METRICS -- 11.10 SIMPLIFY YOUR PRESENTATION -- References -- Index.

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