Simulating Psychotherapeutic Sessions With Generative Artificial Intelligence

NAActive, not recruitingINTERVENTIONAL
Enrollment

520

Participants

Timeline

Start Date

February 1, 2025

Primary Completion Date

April 26, 2025

Study Completion Date

January 27, 2027

Conditions
Mental Disorder
Interventions
BEHAVIORAL

High Levels of Common Therapeutic Factors

The therapist large language model (LLM) is designed to show high levels of empathy, warmth, and genuineness. This setup aims to create a supportive and trusting therapeutic environment to improve patient engagement. High levels of these positive factors are linked to better psychotherapy outcomes and a stronger therapist-patient relationship.

BEHAVIORAL

Low Levels of Common Therapeutic Factors

The therapist LLM for this group is designed to show low levels of empathy, warmth, and genuineness. This setup aims to examine how a less supportive and empathetic therapist affects psychotherapy sessions. Lower levels of these positive behaviors can lead to reduced patient engagement and a weaker therapist-patient relationship, potentially hindering therapy outcomes.

BEHAVIORAL

Standard motivational interviewing

Motivational interviewing techniques as applied during the sessions on which the transcripts are based.

Trial Locations (1)

4031

University Hospital Basel, Basel

All Listed Sponsors
collaborator

Trier University

UNKNOWN

collaborator

RWTH Aachen University

OTHER

collaborator

University of Basel

OTHER

lead

University Hospital, Basel, Switzerland

OTHER

NCT06813066 - Simulating Psychotherapeutic Sessions With Generative Artificial Intelligence | Biotech Hunter | Biotech Hunter