为了检测减少情绪表达强度:一个自闭症兄弟姐妹研究
Bahadir Turan1,2, Pinar Algedik Demirayak3, Esen Yildirim Demirdogen4
1Faculty of Medicine, Department of Child and Adolescent Psychiatry, Karadeniz Technical University, Trabzon, Turkey.
Journal of clinical and experimental neuropsychology
|June 15, 2023
概括
患有自闭症谱系障碍 (ASD) 的儿童及其兄弟姐妹在表达情绪方面表现出缺陷. 这项研究强调了一种新的基于计算机的方法来评估这些非语言社交沟通技巧.
科学领域:
- 发展心理学 发展心理学
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
背景情况:
- 自发的面部情绪表达是关键的非语言社会沟通技巧.
- 患有自闭症谱系障碍 (ASD) 的儿童经常表现出社会沟通方面的挑战.
研究的目的:
- 研究ASD儿童及其非ASD兄弟姐妹的自发情绪表达缺陷.
- 评估一种基于计算机的方法来评估情绪表达技能.
主要方法:
- 分析了ASD儿童 (n=60),非ASD兄弟姐妹 (n=60) 和典型发育儿童 (n=60) 的六种核心面部情绪表达.
- 利用计算机视觉程序与机器学习算法来检测面部特征.
- 采用基于证据的任务来评估参与者识别面部情绪表达的能力.
主要成果:
- 与典型发育的儿童相比,患有ASD的儿童及其非ASD兄弟姐妹在自发情绪表达方面表现出显著的缺陷.
- 这些缺陷与ASD组中自闭症症状的严重程度没有相关性.
结论:
- 基于计算机的面部表情自动分析是衡量情绪表达局限性的有希望的工具.
- 这种方法补充了对ASD及其兄弟姐妹的社会行为缺陷的传统临床评估.
- 这项研究引入了一种新的方法来检查情绪表达技能.
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