论文标题
过去的爆炸：使用个人记忆作为背景的视频引起的情绪的个性化预测
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
论文作者
论文摘要
在现实世界应用中，准确预测观众对视频刺激的情绪反应的关键挑战是对人和特定于处境的差异。塑造个人对视频的主观体验的重要背景影响是它触发了他们的个人记忆。先前的研究发现，这种记忆影响解释了视频诱导的情绪的变化比其他用于个性化预测的上下文变量，例如观众的人口统计或个性。在本文中，我们表明（1）对描述其视频触发记忆的文本进行自动分析可以解释观众的情感响应中的变化，以及（2）将这种分析与视频的视听内容相结合的，可以增强自动预测的准确性。我们讨论了这些发现的相关性，以改善在个性化环境中自动化情感视频分析的最新方法。
A key challenge in the accurate prediction of viewers' emotional responses to video stimuli in real-world applications is accounting for person- and situation-specific variation. An important contextual influence shaping individuals' subjective experience of a video is the personal memories that it triggers in them. Prior research has found that this memory influence explains more variation in video-induced emotions than other contextual variables commonly used for personalizing predictions, such as viewers' demographics or personality. In this article, we show that (1) automatic analysis of text describing their video-triggered memories can account for variation in viewers' emotional responses, and (2) that combining such an analysis with that of a video's audiovisual content enhances the accuracy of automatic predictions. We discuss the relevance of these findings for improving on state of the art approaches to automated affective video analysis in personalized contexts.
