Cognivia：用于循证心理保健的认知行为疗法辅助工具

中文摘要 AI 辅助

认知扭曲会放大负面情绪并导致心理健康问题。认知行为疗法（CBT）是解决认知扭曲的有效方法，但因专业治疗师短缺限制了其大规模应用。尽管大语言模型（LLMs）已用于心理健康应用，但现有方法存在领域特异性有限、回应谄媚及缺乏认知扭曲明确标注等问题。本文提出Cognivia，一个循证人工智能治疗师，集成自动认知扭曲识别和合理回应生成。其框架基于权威CBT文本构建，用心理健康问答数据增强，采用多阶段提示和结构化生成策略，并在行为科学专家监督下微调轻量级LLMs得到。此外还提出首个分层质量评估框架。Cognivia经多种评估方法验证，在认知扭曲识别和合理回应生成方面优于基线方法。

英文摘要

Cognitive distortion amplifies negative emotions and contributes to mental health disorders. Cognitive Behavioral Therapy (CBT) is an effective way to address cognitive distortions, but its large-scale application is limited by the shortage of professional therapists. Although large language models (LLMs) have recently been explored for mental health applications, existing methods still suffer from limited domain specificity, overly flattering responses, and the absence of well-defined annotations for cognitive distortions. This paper proposes Cognivia, an evidence-based artificial intelligence therapist that integrates automatic cognitive distortion identification and rational response generation. Our framework is built on authoritative CBT texts widely regarded as core paradigms and standard references. It is further augmented with mental health question-answer (Q and A) data, and employs multi-stage prompting and structured generation strategies under the supervision of behavioral science experts. Then we fine-tune a lightweight LLM on this augmented CBT dataset to obtain Cognivia. In addition, we propose the first hierarchical quality evaluation framework for assessing LLM-generated rational responses, developed through collaboration between AI researchers and behavioral science experts. Cognivia is evaluated using lexical metrics, LLM-based Judges with two complementary criteria, and human evaluation by 10 behavioral science experts. It consistently outperforms the baseline methods in cognitive distortion recognition and rational response generation, demonstrating its effectiveness. Our code is available at https://github.com/SNOWTEAM2023/Cognivia.

发表机构

• Sichuan University（四川大学）
• Southwest Petroleum University（西南石油大学）
• University of Groningen（格罗宁根大学）
• West China Hospital, Sichuan University（四川大学华西医院）
• Nanyang Technological University（南洋理工大学）

机构由 AI 辅助整理，请以论文原文为准。