Physiological and Affective Computing
Course code
old course code
Course title in Estonian
Füsioloogia-põhine ja afektiivne tarkvaraarendus
Course title in English
Physiological and Affective Computing
ECTS credits
approximate amount of contact lessons
Teaching semester
Assessment form
lecturer of 2019/2020  Autumn semester
Aleksander Väljamäe (inglise keel) tavaline kursus
lecturer of 2019/2020  Spring semester
lecturer not assigned
Course aims
The objective of the course is to enable students to use physiological and affective computing tools in various HCI applications.
Brief description of the course
This course is about technologies and applications that either reproduce/induce emotional states or sense and adapt to user physiological state. The course work will include design of the affective computing application.

Topics to be covered in the course include (but not limited to):
- Physiology of emotion
- Emotions elicitation
- Measurement of emotional and cognitive states
- Properties of psychophysiological signals and basic processing
- Affective “waveform” and temporal dynamics of emotional experience
- Physiology-based interaction
- Implicit interaction
- Brain-Computer Interfaces (both active and passive)
Independent work
Reading course materials, practical assignments (including search for media and game examples, and their analysis) and/or hands-on experiences using physiological and affective computing technologies, the final application design project and peer-reviews of fellow students work.
Learning outcomes in the course
After successfully completing the course students will be aware of the:
- main principles of affective and physiological computing;
- be able to apply this knowledge in design/creation of new HCI applications including digital games.
Assessment methods
The final quotation is computed based on intermediary assignments on topics as such:

Individual project presentation: 10%
Assignment 2: 15%
Assignment3: 15%
Final project idea presentation 10%
Project mid-term presentation 30%
Final project presentation 20%
dotsent Aleksander Väljamäe, Mati Mõttus
Study literature
There will be a mix of recent book chapters, conference papers and journal articles. Some core books:
Picard, R. W., & Picard, R. (1997). Affective computing (Vol. 252). Cambridge: MIT press.
Andreassi, J. L. (2013). Psychophysiology: Human behavior & physiological response. Psychology Press.
Additional information
This course in delivered face-to-face. In order to successfully conclude this course, students are required to individually:
• Take part in all face-to-face lectures and other activities;
• Actively engage and deliver the results of 3 individual assignments; and
• Actively engage and deliver the results of the final group project, which will be assessed both as a whole and by the individual contribution.
Replacement literature
There will be a mix of recent book chapters, conference papers and journal articles. Please note that it is not possible to pass the course only on the base of replacement literature.