The TheraVatars Project aims to develop a virtual patient to provide psychologists in training with a platform to enhance their soft skills in a wide range of clinical scenarios.
Currently, soft skills training relies primarily on role-playing with fellow students, which limits exposure to the complexity of real-world clinical practice. Alternative methods, such as practicing with actors, are difficult to organize and financially burdensome. As a result, students may not be adequately prepared for professional challenges.
This project explores automatic emotion recognition in dialogue interactions, enabling the virtual patient to express emotions naturally. By engaging with the virtual patient, trainees can practice diagnosing based on both conversation content and emotional expressions.
- Virtual Patient Interaction – Allows trainees to engage in realistic conversations with an AI-driven virtual patient.
- Emotion Recognition – Integrates automatic emotion detection into dialogue interactions to enhance authenticity.
- Flexible & Scalable Training – Provides a diverse range of scenarios, overcoming the limitations of traditional role-playing.
- AI Research & Development – Supports SMEs in advancing AI applications in healthcare and training environments.
By offering a more realistic, interactive, and accessible training environment, the Theravatars Project helps bridge the gap between academic learning and professional clinical practice.
This project is being developed at Research Center Creating 010, in collaboration with SMEs interested in AI-driven healthcare solutions.
🚧 Under Development – More details will be provided as the project progresses.
📜 License Information – To be determined.
For more information or contributions, please contact the research team at Creating 010.
🔹 This repository is dedicated to the Theravatar Project at the Research Center Creating 010.