- Ability to plan and execute empirical user studies with correct scientific methodology.
- Skills in inferential statistics, modeling, computational data analysis, and visualisation.
- Understanding the connection between the phases of empirical research in human computer interaction: design problem, research question, hypothesis, measurement, analysis, and inference.
- Understanding how user research relates to user interface design via user modelling and data driven-design.
The topics of the course include field research, experimental research,
statistical analysis, data visualisation, user modelling, and advanced
data collection. Please see the syllabus for the full content listing.
are no explicit prerequisites for attending the course, but some
background on statistical analysis using R / Python / Matlab is strongly
recommended. The course will include a tutorial into statistics with R, but students with no programming or statistical background should expect a heavy workload while they go through the tutorial.