Teaching

Winter 2020/21: Physiological Computing

Physiological computing applies physiological data (like brain waves, skin conductance changes, pupil dynamics or heart rate variability) to generate user-state representations and enable computer systems to dynamically adapt to changes in cognitive and/or affective processing. By connecting the brain/body to a machine, the boundaries of the nervous system are extended which enables us to communicate with machines directly via processes that underlie our thoughts and emotions.

The course will provide basic knowledge on the human nervous system and introduce to the concepts, theories and methods of physiological computing. We will discuss selected examples from the current research by putting special emphasis on eye-tracking and pupillometry but also on recent developments in the field of brain-computer interfaces. Given the opportunity to work in the lab, students will form small groups and learn how to collect and analyse data on gaze behaviour, pupil size changes and skin conductance.           

 

Winter 2020/21: Empirical project: "How to Track Eyes Online (Fast)"

Summer 2020: Wahrnehmung und Kognition für Usability und HCI

Summer 2020: Empirical project ("Eye swiping")

 

Winter 2019/20: Usability Engineering & Testing

Winter 2019/20: Empirical project ("Head - Eye - Pupil: An integrated concept for multimodal interaction")

 

Summer 2019: Wahrnehmung und Kognition für Usability und HCI

Summer 2019: Empirical project ("Lie to me")

Summer 2019: Empirical project ("Pupil-based interaction")



Winter 2018/19: Physiological Computing

Winter 2018/19: Empirical project ("Overload vs underload")



Summer 2018: Wahrnehmung und Kognition für Usability und HCI

Summer 2018: Empirical project ("Voluntary Pupil Control")