评估基于LLM的交互式语言治疗对高功能自闭症青少年心理咨询的疗效
Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling
AI总结：
本研究评估LLM在高功能自闭症青少年心理咨询中的疗效，通过专家评分卡和模拟场景发现其在共情和适应性上表现良好，但个性化深度不足。
摘要：
本研究调查了大型语言模型（LLMs）在高功能自闭症青少年交互式语言治疗中的疗效。随着人工智能的快速发展，特别是在自然语言处理领域，LLMs为增强传统心理咨询方法提供了新的机会。本研究主要侧重于评估LLM在治疗环境中进行共情、适应性强且情境适当的互动能力。由一组临床心理学家和精神科医生使用专门开发的评分卡进行了全面评估。评估涵盖了LLM表现的各个方面，包括共情能力、沟通技巧、适应性、参与度以及建立治疗联盟的能力。该研究避免直接对患者进行测试，优先考虑隐私和伦理问题，而是依赖模拟场景来评估LLM的有效性。结果表明，LLMs作为治疗中的支持工具具有显著前景，在共情参与和对话适应性方面表现出优势。然而，在实现人类治疗师特有的个性化深度和情感理解方面仍存在挑战。该研究还强调了在治疗环境中应用AI时伦理考虑的重要性。这项研究为LLMs在自闭症青少年心理咨询中的潜力和局限性提供了宝贵的见解。它为未来探索AI在心理健康护理中的作用奠定了基础，强调需要持续发展以增强这些模型在治疗环境中的能力。
英文摘要：
This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. With the rapid advancement of artificial intelligence, particularly in natural language processing, LLMs present a novel opportunity to augment traditional psychological counseling methods. This research primarily focuses on evaluating the LLM's ability to engage in empathetic, adaptable, and contextually appropriate interactions within a therapeutic setting. A comprehensive evaluation was conducted by a panel of clinical psychologists and psychiatrists using a specially developed scorecard. The assessment covered various aspects of the LLM's performance, including empathy, communication skills, adaptability, engagement, and the ability to establish a therapeutic alliance. The study avoided direct testing with patients, prioritizing privacy and ethical considerations, and instead relied on simulated scenarios to gauge the LLM's effectiveness. The results indicate that LLMs hold significant promise as supportive tools in therapy, demonstrating strengths in empathetic engagement and adaptability in conversation. However, challenges in achieving the depth of personalization and emotional understanding characteristic of human therapists were noted. The study also highlights the importance of ethical considerations in the application of AI in therapeutic contexts. This research provides valuable insights into the potential and limitations of using LLMs in psychological counseling for autistic adolescents. It lays the groundwork for future explorations into AI's role in mental health care, emphasizing the need for ongoing development to enhance the capabilities of these models in therapeutic settings.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
