Research project to explore how psychotherapeutic work can be supported with computational tools. Currently, only about 1% of patients with schizophrenia receive psychotherapeutic support, although its effectiveness has been proven. This research project aims to lay the foundation for
interaction analysis in the context of cognitive behavioural therapy for schizophrenia.


Project information

Proof of concept on the use of automatic speech recognition and machine learning in the
assessment of therapy sessions.

  • Manual transcription of some therapy sessions to evaluate existing speech recognition
  • Model created for selected evaluation criteria based on machine learning for
    automatic evaluation of therapy sessions
  • Presentation of research results at professional conferences
  • Further project VALERIE
  • Two peer reviewed publications
  • One workshop with project participants
  • One workshop with interested parties within the h_da
  • Preparation of a dissertation under the supervision of Prof. Mehl in this context
  • Publication on the PARANOIA research project

Status: completed

Project leadership: Prof. Dr. Margot Mieske

Participants at the h_da: Prof. Dr. Margot Mieskes and Andreas Stiegelmayr

Funding Organisation: Hessian Ministry of Science and the Arts (HMWK)

Project partner: Frankfurt University of Applied Sciences (FUAS) Prof. Mehl

Project information

Duration 2017 - 2018

Project leadership: Prof. Dr. Margot Mieskes
in cooperation with Frankfurt University of Applied Sciences