SoulChat2.0: Psychological Counselor's Digital Twin Framework
SoulChat2.0 is a framework for constructing the digital twin of psychological counselors, designed to support the development of AI applications in mental health. It includes a data generation module and a modeling module, enabling the creation of personalized counseling models based on limited real-world counseling cases.
Szczegółowe wprowadzenie
SoulChat2.0 is a significant advancement in the field of mental health AI, offering a novel approach to building digital twins of psychological counselors. The framework leverages advanced LLMs to generate high-quality synthetic data that captures the language style and therapeutic techniques of specific counselors. This data is then used to fine-tune models, resulting in AI systems that can provide personalized and effective counseling support.
WięcejZestaw danych
Mental Health Data at WHO
The World Health Organization (WHO) provides a comprehensive collection of global health data, including mental health statistics. This resource offers insights into various mental health conditions and their prevalence, helping researchers and policymakers understand and address mental health challenges worldwide.
Collaborative Assessment Dataset
Collaborative assessment as an intervention in the treatment of mental Illness: a systematic review
Tobii Pro Lab: Eye Tracking Software for Behavior Research
Tobii Pro Lab is a comprehensive eye tracking software designed for behavioral research, offering a complete solution for researchers to conduct experiments from test design to data analysis.