Despite the global mental health crisis, access to screenings, professionals,
and treatments remains high. In collaboration with licensed psychotherapists,
we propose a Conversational AI Therapist with psychotherapeutic Interventions
(CaiTI), a platform that leverages large language models (LLM)s and smart
devices to enable better mental health self-care. CaiTI can screen the
day-to-day functioning using natural and psychotherapeutic conversations. CaiTI
leverages reinforcement learning to provide personalized conversation flow.
CaiTI can accurately understand and interpret user responses. When the user
needs further attention during the conversation, CaiTI can provide
conversational psychotherapeutic interventions, including cognitive behavioral
therapy (CBT) and motivational interviewing (MI). Leveraging the datasets
prepared by the licensed psychotherapists, we experiment and microbenchmark
various LLMs' performance in tasks along CaiTI's conversation flow and discuss
their strengths and weaknesses. With the psychotherapists, we implement CaiTI
and conduct 14-day and 24-week studies. The study results, validated by
therapists, demonstrate that CaiTI can converse with users naturally,
accurately understand and interpret user responses, and provide
psychotherapeutic interventions appropriately and effectively. We showcase the
potential of CaiTI LLMs to assist the mental therapy diagnosis and treatment
and improve day-to-day functioning screening and precautionary
psychotherapeutic intervention systems.

我们提出了一种基于大型语言模型和智能设备的对话式 AI 治疗师平台 (CaiTI)，该平台可以通过自然和心理治疗对话来筛查日常功能，提供个性化对话流程，并提供认知行为疗法和动机性面谈等对话式心理治疗干预。通过与心理治疗师合作进行实验证明，CaiTI 能够与用户自然对话，准确理解和解释用户的回应，并适当有效地提供心理治疗干预，展示了 CaiTI 大型语言模型在心理治疗诊断和治疗中的潜力，以及日常功能筛查和预防性心理治疗干预系统的改进。