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发展障碍人士情感感知量表音乐片段识别研究。

The Study on the Identification of Musical Passages for an Emotion Perception Scale for People With Developmental Disabilities.

机构信息

Department of Psychiatry, Chung Ang University School of Medicine, Seoul, Korea.

Department of Music Therapy, Ewha Womans University, Seoul, Korea.

出版信息

J Korean Med Sci. 2023 Feb 6;38(5):e30. doi: 10.3346/jkms.2023.38.e30.

Abstract

BACKGROUND

Emotion recognition is essential to the social adjustment and social interaction of people with intellectual and developmental disabilities (IDDs). Given that music is a medium for expressing and conveying human emotion, we conducted this preliminary study to identify musical passages representing the basic human emotions of happiness, sadness, and anger, with the goal of developing a music-based emotion perception scale for IDDs.

METHODS

To identify musical passages for emotion perception, 20 certified music therapists evaluated 100 selected musical passages and established 60 pieces that yielded the highest agreement for each emotion category. During the second phase of this study, 300 neurotypical participants rated 60 passages in terms of the perceived type and intensity of emotions expressed.

RESULTS

The 60 passages showed high reliability and were statistically classified into three factors: happiness, sadness, and anger. The k-means cluster analysis yielded a cut-off score of 41 for the low emotion perception group (F = 1120.63, < 0.001). The hierarchical logistic regression analysis revealed that only model 3 (musical passages) was significantly associated with low emotion perception (step χ² = 227.8, < 0.001).

CONCLUSION

The selected musical passages demonstrated high reliability and established three factors for identifying perceptions of happiness, sadness, and anger. Neither psychological status nor individual demographic characteristics affected the emotion perception results.

摘要

背景

情绪识别对于智力和发育障碍(ID)患者的社会适应和社会交往至关重要。鉴于音乐是表达和传达人类情感的媒介,我们进行了这项初步研究,以确定代表快乐、悲伤和愤怒等基本人类情绪的音乐片段,旨在为 ID 患者开发一种基于音乐的情绪感知量表。

方法

为了识别情绪感知的音乐片段,20 名认证音乐治疗师评估了 100 个选定的音乐片段,并为每个情绪类别建立了 60 个获得最高一致性的片段。在这项研究的第二阶段,300 名神经典型参与者根据表达的情绪类型和强度对 60 个片段进行了评分。

结果

60 个片段表现出高度可靠性,并被统计分类为三个因素:快乐、悲伤和愤怒。K-均值聚类分析得出,情绪感知较低的组的截断分数为 41(F = 1120.63,<0.001)。层次逻辑回归分析表明,只有模型 3(音乐片段)与情绪感知较低显著相关(步骤 χ²= 227.8,<0.001)。

结论

所选音乐片段表现出高度可靠性,并确定了识别快乐、悲伤和愤怒感知的三个因素。心理状态和个体人口统计学特征均不会影响情绪感知结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ab6/9902668/a9e179d197fb/jkms-38-e30-g001.jpg

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