OASIS - Overcoming Anxiety: Psychotherapy in Shared Virtual Reality with Generative AI Systems
Our aim is to advance psychotherapy for anxiety disorders through shared virtual reality (VR) and generative artificial intelligence (AI). Below, you will find detailed information about our mission, objectives, and the people involved in this pioneering initiative.
Project Summary
The OASIS Interdisciplinary Innovation Project aims to develop and evaluate tools to utilize generative AI in a multi-user mixed reality (MUMR) platform for the creation of tailored, individualized exposure therapy treatments. Our system is designed to enable therapists and patients to experience and interact within the same virtual environment, facilitating a novel multi-user mixed reality exposure treatment (MUMR-ET) for anxiety disorders. The project incorporates advanced elements such as context-aware stimuli, attention visualization, and interactional features that enhance therapist-patient collaboration. Additionally, we leverage generative AI and real-world capture techniques to rapidly create individualized, high-fidelity virtual scenarios for therapeutic use.
OASIS builds upon our ViewR platform to demonstrate the utility and effectiveness of shared VR/MR in clinical psychotherapy settings. These applications are also be featured in academic exhibitions.
Publications
(Under Construction)
Theses and Research Projects
Given the number of currently supervised projects, we can not supervise or offer further research or thesis projects. Otherwise we can not uphold a supervisory relationship that meets our own expectations – which would be a detriment to both sides.
Please check back next semester. Thanks!
Videos
(Under Construction)
Project Team Members
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Clinician |
High-tech |
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Partners & Funding
OASIS receives funded through the EKFZ for Digital Health.
OASIS is a collaboration between
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Chair of Behavioral Psychotherapy |
Chair of Immersive Media Design, Immersive Experience Lab (IXLAB) Institute of Software and Multimedia Technology Faculty of Computer Science TU Dresden |
Links
This section will provide valuable links to related resources. (Under Construction)
Let's Talk!
Curious to learn more? | Interested in collaboration opportunities? | Student looking for an interesting thesis topic?
Please reach out to Florian Schier and Daniel Badeja.
We’d love to hear from you!