自闭症的共同注意:从行为观察到人工智能评估技术的叙事审查
Marwa Qaraqe1, Elizabeth B Varghese2, Inam Qadir1
1A-Sense Center of Excellence, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Behavior research methods
|March 2, 2026
概括
联合注意力 (JA) 评估已经从人为主导的方法演变为人工智能驱动的工具,对于诊断儿童自闭症谱系障碍 (ASD) 至关重要. 本次审查通过评估当前的JA评估技术,帮助早期干预.
科学领域:
- 发展心理学 发展心理学
- 临床心理学 临床心理学
- 计算机科学 计算机科学
背景情况:
- 联合注意力 (JA) 对于早期的社会沟通,认知发展和语言学习至关重要.
- 损伤的JA是自闭症谱系障碍 (ASD) 的标志,需要对早期诊断和干预进行准确的评估.
- 传统的JA评估方法通常是人为介导的.
研究的目的:
- 审查从2002年到2024年JA评估方法的演变.
- 为了比较人为介导和技术辅助 (包括人工智能) 的JA评估方法.
- 确定研究缺口和未来的方向,以改善ASD儿童的JA评估.
主要方法:
- 在主要的文献数据库 (2002-2024) 中索引的研究的叙事综述.
- 将研究分类为以人为媒介和技术辅助的JA评估方法.
- 对目标人群的分析,数据收集和验证策略.
主要成果:
- 显著转向技术辅助方法,包括人工智能,用于JA评估.
- 在以人为媒介和以技术为驱动的方法中确定优势和局限性.
- 新兴的人工智能工具显示出对客观和可扩展的JA测量有希望.
结论:
- 技术,特别是人工智能,为患有自闭症儿童的JA评估提供了有前途的进步.
- 需要进一步的研究来完善基于人工智能的工具,并验证它们在不同人群中的有效性.
- 改进的JA评估可以显著提高ASD的早期诊断和干预.
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