调查个人记忆对视频诱发情绪的影响

Bernd Dudzik, H. Hung, Mark Antonius Neerincx, J. Broekens
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引用次数: 19

摘要

本文有助于自动估计视听媒体内容在个体观众中引起的主观情感体验,例如支持基于情感的推荐。对这些反应做出准确的预测是一项具有挑战性的任务,因为它们高度依赖于个人和特定的情况。心理学的研究结果表明,媒体对情绪影响的一个重要驱动因素是触发观察者的个人记忆。然而,现有的自动预测研究侧重于对视听内容的孤立分析,忽略了这种上下文影响。在一系列的实证研究中,我们(1)量化了相关的个人记忆对观众在野外观看音乐视频时的情绪反应的影响,(2)评估了在这种情况下,关于触发记忆的信息对个性化自动预测的潜在价值。我们的研究结果表明,记忆的出现加剧了对视频的情绪反应。此外,关于观看者记忆反应的信息比视频的身份或相关的观看者特征(如个性或情绪)更能解释视频诱发情绪的变化。我们讨论了这些结果对现有自动化预测方法的影响,并描述了开发内存敏感替代方案的方法。
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Investigating the Influence of Personal Memories on Video-Induced Emotions
This paper contributes to the automatic estimation of the subjective emotional experience that audio-visual media content induces in individual viewers, e.g. to support affect-based recommendations. Making accurate predictions of these responses is a challenging task because of their highly person-dependent and situation-specific nature. Findings from psychology indicate that an important driver for the emotional impact of media is the triggering of personal memories in observers. However, existing research on automated predictions focuses on the isolated analysis of audiovisual content, ignoring such contextual influences. In a series of empirical investigations, we (1) quantify the impact of associated personal memories on viewers' emotional responses to music videos in-the-wild and (2) assess the potential value of information about triggered memories for personalizing automatic predictions in this setting. Our findings indicate that the occurrence of memories intensifies emotional responses to videos. Moreover, information about viewers' memory response explains more variation in video-induced emotions than either the identity of videos or relevant viewer-characteristics (e.g. personality or mood). We discuss the implications of these results for existing approaches to automated predictions and describe ways for progress towards developing memory-sensitive alternatives.
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