观众面部表情的学科间相关性预测了戏剧表演期间观众的参与度
Richard A Oakes1,2, Lisa Peschel2, Nick E Barraclough1
1Department of Psychology, University of York, Heslington, YO10 5DD York, UK.
iScience
|May 23, 2024
概括
在表演期间的观众参与可以通过面部表情的同步来衡量. 这种面部表情同步或主体间相关性 (ISC) 为实时观众参与评估提供了一种新的非侵入性方法.
科学领域:
- 社会心理学 社会心理学
- 神经科学是一个神经科学.
- 绩效研究 绩效研究
背景情况:
- 表演期间观众的情绪状态反映在面部表情上.
- 衡量观众参与度的现有方法往往具有侵入性或范围有限.
- 了解观众参与对于优化表演体验至关重要.
研究的目的:
- 通过测量面部表情的学科间相关性 (ISC) 来确定观众参与度.
- 探索面部表情同步和观众参与之间的关系.
- 为了确定影响面部表情同步的因素在观众中.
主要方法:
- 在戏剧表演期间拍摄观众的面部表情.
- 随着时间的推移量化了各种面部表情 (中立,快乐,愤怒,厌恶) 的强度.
- 对不同面部表情进行计算的受试者之间的相关性 (ISC).
主要成果:
- 中立,快乐,愤怒和厌恶表达的ISC预测高达24%的观众参与度.
- 接近的个体之间的表达同步性更高,这表明情绪传染或认知相似性.
- 同步性在年轻的女性中最大,同情度更高,这表明个体特征的影响.
结论:
- 面部表情同步作为一个实时的,非侵入性的观众参与指标.
- 这种方法可以在比以前更大的受众中进行参与评估.
- 个体特征和近距离影响观众共同的情感体验.
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