Human-Computer Interaction
INF4820
2026
12 Lessons
How to measure the user experience: planning a study, then performance, self-reported, issues-based, eye-tracking and emotion metrics, with the statistics that make them credible. Follows Albert & Tullis, Measuring the User Experience (3rd ed., 2023).
Science, Engineering & Technology
About this module
How to measure the user experience: planning a study, then performance, self-reported, issues-based, eye-tracking and emotion metrics, with the statistics that make them credible. Follows Albert & Tullis, Measuring the User Experience (3rd ed., 2023).
Lessons
12 lessons
- 1IntroductionWhat user experience is, and why we measure it
- 2BackgroundThe statistics behind UX metrics: data types, confidence intervals, t-tests and chi-square
- 3PlanningGoals, metrics, methods and the details that make a study work
- 4Performance MetricsSuccess, time, errors, efficiency and learnability
- 5Self-Reported MetricsAsking users how it felt, and measuring the answers well
- 6Issues-Based MetricsFinding, rating and counting usability issues
- 7Eye TrackingWhere people look, for how long, and what they miss
- 8Measuring EmotionWords, surveys, faces and skin: capturing how users feel
- 9Combined and Comparative MetricsSingle scores, scorecards, goals and experts
- 10Special TopicsLive data, card sorting, tree tests, first clicks, accessibility and ROI
- 11Case StudiesFive teams, five products, and the UX metrics that made the case
- 12Ten Keys to SuccessLessons for making UX metrics matter