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.

翻译：本研究探究了大语言模型在针对高功能自闭症青少年的交互式语言疗法中的疗效。随着人工智能、尤其是自然语言处理技术的飞速发展，大语言模型为传统心理咨询方法提供了新的补充机遇。本研究主要评估大语言模型在治疗环境中进行共情、适应性强且语境恰当的交互能力。由临床心理学家和精神科医生组成的专家组采用专门开发的评分表进行了全面评估。评估涵盖了大语言模型表现的多个方面，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。本研究优先考虑隐私和伦理问题，避免直接对患者进行测试，而是依靠模拟场景来衡量大语言模型的效果。结果表明，大语言模型作为治疗中的辅助工具具有显著前景，在共情互动和对话适应性方面展现出优势。然而，研究也指出了其在实现人类治疗师所特有的深度个性化和情感理解方面存在的挑战。本研究还强调了在治疗环境中应用人工智能时伦理考量的重要性。本研究为将大语言模型用于自闭症青少年心理咨询的潜力和局限性提供了宝贵见解，为未来探索人工智能在心理保健中的作用奠定了基础，强调了持续开发以增强这些模型在治疗环境中能力的必要性。