大学生之间的情绪表达的差异:关于整合心理测量方法和算法优化算法的研究
1School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, Anhui, 232001, China. chenxiaozhu712@163.com.
BMC psychology
|March 21, 2025
概括
这项研究揭示了大学生根据性别,专业和学年表达情绪的显著差异. 机器学习和心理测量方法被用来分析情绪智能,抑郁,焦虑和压力,为个性化心理健康支持提供了洞察力.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 教育教育教育教育教育教育.
背景情况:
- 大学生的情绪表达影响心理健康,人际关系和学术.
- 情绪表达的个体差异受性别,文化和个性的影响.
- 对于情感表达的传统研究方法缺乏活力和个性化.
研究的目的:
- 为了全面分析大学生的情绪表达.
- 克服传统单一测量方法的局限性.
- 用心理测量和算法方法探索情绪表达的差异.
主要方法:
- 使用了情绪智力尺度 (EQ-i) 和抑郁-焦虑-压力-21 (DASS-21).
- 收集了面部表情和语音情绪数据.
- 应用机器学习算法 (随机森林,SVM,神经网络) 和差异分析.
主要成果:
- 性别,专业和年级显著影响了情绪表达.
- 男性工程学生表现出比女性文科学生更高的情绪智力.
- 焦虑和压力随着学年增长而增加,女性学生,特别是文科学生,报告了更高的水平.
结论:
- 综合心理测量和算法方法为个性化心理健康干预提供了新的途径.
- 这些发现丰富了情绪表达研究的理论基础.
- 为教育和心理健康实践提供实用参考.
关键词:
算法优化的算法优化情绪表达的差异 情绪表达的差异情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情情绪智能度量表情绪智能度量表情情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情绪智能度量表情情绪智能度量表情情绪智能度量表情情绪智能度量表情情绪智能度量表情心理测量方法 心理测量方法差异分析的差异分析.更多相关视频
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