This one-semester directed study provides the opportunity to work in a group setting to plan, acquire and evaluate subjective and physiological data in the field of affective computing.Lecture in ZEuS Lecture in ILIAS
- Knowledge in working on specific topics in the field of affective computing.
- Measurement of quality and usability of interactive physiological systems.
- Practical experience in technical realization of human-machine interfaces.
- Knowledge of the design and implementation cycle of interactive systems.
- Practical proving of the knowledge in quality and usability judgement on selected technical systems.
- Application of group work skills.
- Presentation of project work.
Current topics in the research focus of the department will be reviewed to gain the necessary basics and will be applied to practical problems. These topics are:
- Measurement and prediction of quality
- Measurement and design of the usability of human-machine interfaces, user simulation, quality and mobile and physical interaction
- Visual interaction
- Physiological Sensing
None, if taken as a master course. If taken as an advanced course in the bachelor program:
- basic math courses offered in our bachelor programs
- algorithms and data structures
- introduction to computer science including programming
Knowledge in Matlab is advisable.
Course Works and Credits
Credit will be given based on a mid-term and a final presentation of an experimental study in visual quality estimation using physiological sensors. The mid-term presentation should include the the design of the study as well as the proposed evaluation methodology. The final presentation should include the theoretical foundations, the design of the experiment, the data analysis, and the visualization of the results. In addition a written report containing this material must be provided.