inf974 - Human Computer Interaction and Brain Computer Interfacing

No participant requirement

Professional competences
The students:

• human computer interaction (HCI) in its interdisciplinary requirements focusing on the perspective from neurocognitive psychology.
• basic knowledge of Brain Computer Interfacing

Methodological competences
The students:

• will acquire basic knowledge of neuroimaging and data analysis techniques.
• will acquire Methodological competences required for deriving statistical models to link brain and cognition/behavior.
• will acquire skills and knowledge to critically reflect basic science theories in naturalistic context.

Social competences
The students:

Self-competences
The students:

• will have knowledge of common experimental designs, data acquisition, and analysis methods and will have an insight of how to chose appropriate methods for their specific experiment
• are able to design and run a simple HCI/BCI experiment.

The module consists of a lecture and an exercise part:
Lecture:

• Background and concepts of cognitive psychology relevant for human computer interaction
• Sensation, perception, action
• Data acquisition and processing methods for brain computer interfacing.

• Dornhege et al. (2007) Toward Brain Machine Interfacing, The MIT-Press

The module will start every summer term with part 1. Part 2 will be offered in the winter term.

At the end of the lecture period

Portfolio