有效的数字支持自闭症:数字社会故事
Louis John Camilleri1, Katie Maras1, Mark Brosnan1
1Centre for Applied Autism Research (CAAR), University of Bath, Bath, United Kingdom.
Frontiers in psychiatry
|January 18, 2024
概括
数字社交故事对自闭症儿童,特别是年轻人,口头,女性和性别不同的个人来说是有效的. 这项使用SOFA应用程序的大规模研究为干预的有效性和通用性提供了新的见解.
科学领域:
- 自闭症谱系障碍 干预 干预
- 数字健康应用程序 数字健康应用程序
- 教育心理学教育心理学
背景情况:
- 社交故事TM是自闭症儿童的流行的干预措施,但由于依赖单参与者设计,有效性数据往往缺乏概括性.
- 现有研究在社会有效性和广泛适用性方面存在局限性.
- 数字应用程序提供了一种新的方法来收集大规模的现实数据,用于自闭症干预.
研究的目的:
- 为了研究数字社交故事的有效性,使用"自闭症在线故事" (SOFA) 应用程序.
- 为了确定社会故事的目标接近,儿童理解和愉悦性的预测因素.
- 在一个大型的多参与者数据集中探索这些关键变量之间的相关性.
主要方法:
- 通过SOFA应用程序收集的三个数据集 (N=856) 的分析.
- 调查了社交故事的接近目标 (n=568),理解 (n=127) 和愉悦性 (n=161).
- 回归分析检查了包括年龄,性别,自闭症诊断和语言水平在内的预测因素.
主要成果:
- 年龄较小,语言较强的孩子有更高的父母接近目标的评分.
- 年长的孩子表现出更高的理解得分.
- 自闭症儿童认为社交故事更有趣.
- 接近目标,理解和享受没有显著的相关性.
- 数字社交故事对年轻,口头,自闭症,女性和性别不同的孩子更有效.
结论:
- SOFA应用程序为自闭症研究提供了大规模的数据收集,提高了概括性和社会有效性.
- 数字社交故事对年轻的,口头自闭症儿童,特别是女性和性别不同的人来说特别有效.
- 研究结果强调了数字工具的潜力,以改进和个性化自闭症干预措施.
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