通过计算机化方法识别音乐中的情绪:一种评估社会成熟度的新方式
Hyunchan Hwang1, Jin Hyung Lee2,3, Juri Yun4
1Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Frontiers in psychiatry
|November 3, 2025
概括
通过社会分数 (SQ) 测量的社会成熟度与自闭症谱系障碍 (ASD) 患者的音乐情感识别能力相关. 这表明音乐情绪识别测试可能为ASD人群提供对社会智能的见解.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 发展科学 发展科学
背景情况:
- 自闭症谱系障碍 (ASD) 是一种神经发育状况,其特点是社会互动和沟通方面的挑战.
- 情感感知是社会智能的关键方面,其在ASD人群中的评估至关重要.
研究的目的:
- 探索ASD和对照组个体的社会成熟度和音乐情感识别之间的关系.
- 为了研究音乐的实用性,情感识别测试作为社会智能的衡量标准.
主要方法:
- 84名患有自闭症的个体和50名对照人被评估,使用智商 (IQ),社会成熟度 (SQ) 和自闭症评分表 (CARS).
- 使用面部表情识别 (EPT) 和音乐情感识别 (MEPT) 评估了情感感知.
主要成果:
- 与ASD组相比,对照组的IQ,SQ,EPT和MEPT得分较高,CARS得分较低.
- 在总样本和ASD组中,社会成熟度 (SQ) 与情感感知得分 (EPT和MEPT) 有积极的相关性.
- 音乐情感识别分数 (MEPT) 与社会成熟度 (SQ) 有正相关性,反映了面部情感识别的发现.
结论:
- 音乐情感识别与社会智能相关,这表明其作为评估自闭症患者社会能力的工具的潜力.
- 需要进一步的研究来验证音乐情绪识别测试的有效性,以便在ASD人群中使用.
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