We define “Ultra-high-definition mental health care” as the research area that aims to identify mental states and predict intervention outcomes using a wide range of data obtained from communications, that is rich in its variation, quantity, and degree of detail. By fusing both methodologies of human and digital technologies we may achieve a new high precision care.
Our pioneering project uses high-quality data from a clinical trial of psychotherapy, and we are aiming to build a foundation for future development in this field.
Masaya Ito (PhD.)
National Center of Neurology and Psychiatry
National Center for Cognitive Behavior Therapy and Research
Manager, Department of Research and Development
The goal is to use the expert-system AI approach and build a structured knowledge of behaviors in psychotherapy that both computer and human understand.
We aim to quantify and visualize the features of spoken language and written texts in psychotherapy and in communication in other medical settings.
A02 Natural Language
Our group seeks to extract the acoustic features of the conversation, that can inform the mental states and predict the treatment trajectory of psychotherapy.
A03 Acoustic Analysis
With mathematical modelling we aim to elucidate, “what individual components of psychotherapy, is effective on what symptoms, and through what process”
On June 17, we will hold a session entitled "Digital-Human Fusion for Ultra-High-Definition Care of the Mental Health: Building a Strategy for Multi-D
In recent years, a framework called Process-Based Therapy (PBT) has been proposed in clinical psychology and has attracted much attention. This framew