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.

这项研究主要探讨了大型语言模型（LLMs）在与高功能自闭症青少年进行互动语言治疗中的效果。通过评估 LLM 在治疗环境中参与共情、适应性和情境适当性交互的能力，研究结果表明 LLM 在支持性治疗工具方面具有巨大潜力，显示出在情感共鸣和对话适应性方面的优势，但也指出实现人类治疗师所具备个性化和情感理解深度的挑战，强调了应用人工智能于治疗环境中的伦理考虑的重要性。该研究为利用 LLM 进行自闭症青少年心理咨询提供了有价值的洞察力，并强调了在心理健康护理中探索人工智能作用的未来需要持续发展以增强这些模型在治疗环境中的能力的必要性。