Augmented Intelligence for Psychiatry/Psychology

In this interdisciplinary project, the technical content of the research field Augmented Intelligence for Psychiatry and Psychology of the Dept. TI is made accessible to a broad public with the help of the design expertise of the HKB.



The Applied Machine Intelligence (AMI) group's work in the field of psychiatry/psychology has demonstrated that natural language processing (NLP) and machine learning (ML) technologies can provide useful new diagnostic tools for practitioners. The AMI group’s research on burnout has indeed provided promising results where machine learning was used to find indication for burnout in free text. In the context of augmented intelligence dedicated to support specialists in their daily work, public understanding and trust in new technologies is an integral part of the research work.

Course of action

However, traditional communication (press release, project website) often fails to convey the complexity of the very technical research field to a large non-specialist audience. This interdisciplinary project conducted in partnership with the Institute of Design Research of HKB aims to develop a web platform specifically designed to ensure rigorous and accessible communication of the AMI group's research topics in the field of clinical psychology. Tools and visual aids will be designed to facilitate access to basic concepts related to the research field and encourage interaction with the public.

Looking ahead

Within the framework of a human-centered approach, this web platform facilitates the presentation to the general public of the Burn-out project’s results and the progress of the Augmented Intelligence for Psychiatry/Psychology projects. This platform is intended for a wide audience and aims at the transmission of basic digital skills in order to encourage an informed understanding of the topics. Furthermore, this approach is in line with citizen science perspective, which aims to encourage a constructive exchange with the public and to promote trust in new technologies.

This project contributes to the following SDGs

  • 3: Good health and well-being
  • 10: Reduced inequalities