RESONANZ: AI-supported voice analysis to detect and predict mental health along the entire treatment pathway of depression and anxiety disorders
Project Partners
- Senseven Health GmbH
- Technische Universität Berlin, FG Quality and Usability Lab
Funding
German Federal Ministry of Education and Research
Duration
April 2024 - March 2027
Description
The RESONANZ project aims to develop and validate a comprehensive AI-supported speech analysis app that supports the entire psychotherapeutic treatment process for anxiety disorders and depression. The app assists both patients and therapists in every treatment step: first evaluation, therapy selection, appointment booking, symptom monitoring during treatment, and personalised therapy support between sessions. Furthermore, AI-based vocal biomarkers are identified and observed throughout the entire therapy process to objectivise diagnostics, therapy selection and prediction of symptom changes, which in turn increases the therapy success and patient motivation.
The Professorship of Cognitive Psychology and Human Factors focuses on researching ethical and value-orientated challenges during app development, aiming to develop and apply ethics-by-design principles that reflect the most relevant values from user perspective when interacting with the app (e.g. privacy, autonomy).
Another focus of the professorship is on designing acceptable and user-friendly interfaces in the eyes of both patients and therapists that also give them the necessary individualisation options and maintain a high level of privacy. At the same time strategies are evaluated which can be used to increase patients’ and therapists’ trust in AI-based recommendations and how genuine collaboration between patients, therapists and the AI-based app RESONANZ can be promoted.
