使用人工智能改善自闭症青少年和成年人的同情陈述:一项随机临床试验
Lynn Kern Koegel1, Elizabeth Ponder2, Tommy Bruzzese3
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. Lynnk@Stanford.edu.
Journal of autism and developmental disorders
|February 15, 2025
概括
一个人工智能程序通过提供对话反显著提高了自闭症青少年和成人的同情心. 这种具有成本效益的工具增强了自闭症谱系障碍 (ASD) 患者的社交沟通技巧.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 发展心理学 发展心理学
背景情况:
- 自闭症谱系障碍 (ASD) 的特点是社会沟通挑战,影响关系和就业.
- 传统的干预措施往往是昂贵和难以获得的,强调了需要可扩展的解决方案.
- 人工智能为可访问和有效的社会沟通支持提供了潜在的途径.
研究的目的:
- 评估人工智能程序在增强自闭症个体口头同情反应方面的有效性.
- 评估基于人工智能的大型语言模型 (LLM) 对社交对话技能的影响.
- 确定人工智能驱动的干预措施是否可以为改善社会互动提供成本和时间高效的支持.
主要方法:
- 一项随机临床试验将AI程序 (Noora) 与等候名单对照组进行了比较.
- 患有自闭症的参与者 (11-35岁) 每天与AI接触4周,响应提示并收到反.
- 干预前后的评估包括对话样本和关于社会舒适度和计划满意度的问卷.
主要成果:
- 与对照组相比,使用人工智能的参与者在同情反应方面表现出了统计学上显著的改善.
- 对自然社交对话的概括改进,表明现实世界的适用性.
- 人工智能组观察到高参与者满意度和报告的信心增加.
结论:
- 人工智能,特别是LLM,可以有效地改善自闭症青少年和成人的同情反应.
- 人工智能计划提供了一种时间和成本高效的方法来提高社会沟通技巧.
- 这项技术为面临社会互动困难的自闭症患者提供了一个有前途的可扩展支持系统.
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