一分钟的无声视频片段:勇气和兴奋的数据库
Vladimir Kosonogov1, Kirill Efimov2, Olga Kuskova2
1Affective Psychophysiology Laboratory, Institute of Health Psychology, HSE University, Saint Petersburg, Russian Federation.
Europe's journal of psychology
|February 23, 2026
概括
这项研究引入了一套新的情感视频片段数据集,用于行为和社会科学研究. 该数据集具有规范价值和兴奋值,使多种心理生理学和跨文化研究成为可能.
科学领域:
- 行为科学和社会科学.
- 心理生理学 心理生理学
- 情感计算是一种情感计算.
背景情况:
- 线性差异分析 (LDA) 用于行为和社会科学中的分类和变量识别.
- 纵向数据和重复测量分析对于捕捉时间动态和复杂的相关性至关重要.
- 心理测量数据经常违反多变量正常性假设,需要强大的分析方法.
研究的目的:
- 介绍一套全面的情感视频片段数据集,具有规范价值和兴奋等级.
- 促进对情感计算,心理生理学和跨文化研究的研究.
- 为选择针对特定研究问题的视频子集提供标准化资源.
主要方法:
- 一个由160个一分钟情感视频剪辑组成的数据集被策划.
- 每个视频都被30个受试者评价,每个受试者评价至少有20个视频.
- 对于每个剪辑,收集了价值和兴奋的规范值.
主要成果:
- 数据集包括负,中性和正价值类别的视频.
- 观察到价值和兴奋之间的二次关系,极端价值剪辑的高兴奋.
- 一个消极的偏见被表明,一些负面的视频显示更高的兴奋比积极的.
结论:
- 这一数据集为情感科学研究人员提供了一个有价值的,多功能资源.
- 它的标准化持续时间和文化中立性提高了它在各种心理生理学和跨文化研究设计中的实用性.
- 数据集支持选择特定的视频子集,推进对情绪的细微调查.
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