After the course the student knows how to analyze, construct and evaluate the interaction techniques on different modalities and use contexts.

After the course the student:
- knows a number of models of human performance and can apply them in the analysis of interaction techniques.
- knows a number of classes of interaction techniques and a few examples in each class.
- can identify the relevance of effectiveness and efficiency in an interaction context.
- can evaluate interaction techniques through methodological triangulation in a resource efficient way.
- has begun to develop the reading skills later needed in the Master?s thesis work.
- is able to relate new research results to past research in the field.
- knows where to find and how to read research papers on interaction techniques.

Practical implementation:
The course covers different types of human-technology interaction including, e.g., virtual reality, augmented reality, tangible interaction, information visualization, public displays and wearable computing. For each type, an overview of past and current work from scientific literature is discussed and the concept of interaction technique works as the focal point throughout.

The course is graded pass/fail and passing the course requires the completion of weekly design and analysis exercises, giving a presentation on a given research paper, writing a blog post and participating in discussions during the meetings and on-line. Full remote participation is possible with per participant agreement. Meetings will be available on-line. Passing this part of the course will result in 5cu marking which can be expanded to 10cu by completing a project work where a prototype system is developed and evaluated. The project can be done during period IV, or with a special agreement, at later time.

Moodle is used during the course for communication and returning the exercises.

Teaching in period III, optional course work in period IV.