Unobtrusive Stress Detection in Virtual Reality
BA/MA
Status | in progress |
Advisor | Dr. Yomna Abdelrahman |
Professor | Prof. Dr. Florian Alt |
Task
Problem Statement
In the 21st Century, mental health disorders like stress, anxiety and depression have become a part of our daily lives. Current digital systems are largely blind to usersâ stress states. Systems that adapt to users' states show great potential for creating novel user experiences. However, most approaches for sensing stress, involve obtrusive technologies, such as physiological sensors attached to users' bodies and not yet adapted to VR/AR. In this thesis, we aim to explore unobtrusive sensors for detecting stress, while considering VR/AR setups.
Tasks
- Get familiar with VR/AR hardware and software
- Get familiar with stress and affective computing
- Find and study related literature
- Develop\reuse software tracking the body motion and model it in VR
- Design a user study
- Conduct a user study
- Do a statistical evaluation
- Write all down in a thesis
Preferred (but not necessary) qualification
- Knowledge in the area of human computer interaction
- Independent thinking and creative problem solving
- Experience in programming with Unity a plus