发表机构
Tampere University（坦佩雷大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过现场戏剧表演中多模态生理信号分析，发现戏剧性场景引发最强激活，共情场景反应较低，验证了心率与皮肤电导组合测量能有效捕捉观众参与度变化。
AI 中文摘要
在各种文化干预中，戏剧为情感表达、反思和社会联系提供了强大的媒介。现场表演可以对心理健康产生积极影响。因此，研究戏剧表演期间的观众反应可以为理解戏剧、情感体验和幸福感之间的关系提供有价值的见解。生理反应已成为识别与不同情绪状态相关模式的重要模态。然而，在诸如现场表演等自然环境中，由于缺乏明确的标签，分析这些信号具有挑战性。在本研究中，我们专注于使用在现场戏剧表演期间收集的生理数据来理解情绪和行为反应。使用多种传感模态从参与者处记录数据。此外，采用了一个全面的分析框架，包括人口统计学分析、生理信号的视觉探索、参与者层面的观察、场景层面的生理分析以及使用z-score归一化进行基于强度的分析以总结发现。研究结果显示，戏剧性、令人惊讶和激烈的场景产生了最强的激活，通常伴随着心率和皮肤电导水平的同步增加，而共情驱动的场景则表现出较低且更稳定的反应。幽默场景引发了中等至高度的激活，特别是在突然反应或响亮声音出现时。分析还识别了参与者之间共享的生理反应模式，激活集中在关键情绪事件周围。这些结果表明，心率和皮肤电导水平的组合测量可以有效地捕捉现场戏剧表演期间观众参与度的变化。
英文摘要
Among various cultural interventions, theatre offers a powerful medium for emotional expression, reflection, and social connection. Live performances can positively influence mental well-being. Therefore, studying audience responses during theatrical performances can provide valuable insights into the relationship between theatre, emotional experiences, and well-being. Physiological responses have emerged as an important modality for identifying patterns associated with different emotional states. However, in naturalistic environments such as live performances, analysing these signals is challenging due to the absence of explicit labels. In this study, we focus on understanding emotional and behavioural responses using physiological data collected during a live theatrical performance. Data were recorded from participants using multiple sensing modalities. In addition, a comprehensive analytical framework was employed, which included demographic analysis, visual exploration of physiological signals, participant-level observations, scene-wise physiological analysis, and intensity-based analysis using z-score normalization to summarize the findings. The findings revealed that dramatic, surprising, and intense scenes produced the strongest activation, often with concurrent increases in HR and SCL, whereas empathy-driven scenes showed lower and more stable responses. Humorous scenes elicited moderate-to-high activation, particularly in the presence of sudden reactions or loud sounds. Analyses also identified shared physiological response patterns across participants, with activation concentrated around key emotional events. These results indicate that combined HR and SCL measures can effectively capture variations in audience engagement during live theatrical performances.
