灯光,相机,情感:REELMO的1060小时情感报道,以探索自然背景中的情感
Erika Sampaolo1, Giacomo Handjaras2, Giada Lettieri3
1Social and Affective Neuroscience (SANe) group, MoMiLab, IMT School for Advanced Studies Lucca, Lucca, Italy.
Scientific data
|May 15, 2025
概括
这项研究介绍了REELMO,这是一种用于实时情绪研究的新型数据集. 它捕捉了电影观看期间的每一刻的情绪反应,有助于研究情感体验.
科学领域:
- 情感神经科学是一种神经科学.
- 计算精神病学是一种计算精神病学.
- 人与计算机的交互
背景情况:
- 情绪是人类经验的基础,但由于它们的复杂性和上下文依赖性,研究它们是具有挑战性的.
- 传统的实验室环境往往无法捕捉到自然主义情绪反应的细微差别.
研究的目的:
- 介绍REELMO (对MOvies的实时情感反应),这是一个全面的数据集,旨在将受控实验和自然情感体验相结合.
- 为在生态有效的环境中调查情绪反应的动态提供丰富的资源.
主要方法:
- 从161名参与者中收集了1060个小时的每一刻的情绪报告,来自161名参与者观看了60部长片.
- 从20名志愿者获得的fMRI数据观看"乔乔子".
- 综合视觉,声学和语义特征来源于深度学习模型,以及人格和同理心的测量.
主要成果:
- REELMO提供高时间分辨率和丰富的注释,用于详细的情感分析.
- 该数据集可以研究情感计时,混合价值状态以及情绪反应中的个体差异.
- 促进了机器学习在情感 (神经) 科学中的应用.
结论:
- REELMO提供了一个强大的平台,通过整合各种数据模式来推进情感研究.
- 能够深入研究感官信息,叙事和背景如何塑造情感体验.
- 支持探索心理特征对情感反应的影响.
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