Cognitive Behavioral Therapy
Cognitive Behavioral Therapy (CBT) aims to alleviate mental health issues by modifying maladaptive thoughts and behaviors. Current research heavily focuses on leveraging artificial intelligence, particularly large language models (LLMs) and deep learning, to enhance CBT delivery, including automating aspects of therapy, improving accessibility, and personalizing interventions. This research is driven by the need to address the global shortage of mental health professionals and improve treatment outcomes, with studies exploring the efficacy and ethical implications of AI-assisted CBT across various modalities, including text-based chatbots and even socially assistive robots.
Papers
Can an LLM-Powered Socially Assistive Robot Effectively and Safely Deliver Cognitive Behavioral Therapy? A Study With University Students
Mina J. Kian, Mingyu Zong, Katrin Fischer, Abhyuday Singh, Anna-Maria Velentza, Pau Sang, Shriya Upadhyay, Anika Gupta, Misha A. Faruki, Wallace Browning, Sebastien M. R. Arnold, Bhaskar Krishnamachari, Maja J. Mataric
COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt
Suyeon Lee, Jieun Kang, Harim Kim, Kyoung-Mee Chung, Dongha Lee, Jinyoung Yeo