Emotion elicitation using emotional film clips is one of the most common and ecologically valid methods in Affective Computing. However, selecting and validating appropriate materials that evoke a range of emotions is challenging. Here we present EmoStim: A Database of Emotional Film Clips as a film library with a rich and varied content. EmoStim is designed for researchers interested in studying emotions in relation to either discrete or componential models of emotion. To create the database, 139 film clips were selected from literature and then annotated by 638 participants through the CrowdFlower platform. We selected 99 film clips based on the distribution of subjective ratings that effectively distinguished between emotions defined by the discrete model. We show that the selected film clips reliably induce a range of specific emotions according to the discrete model. Further, we describe relationships between emotions, emotion organization in the componential space, and underlying dimensions representing emotional experience. The EmoStim database and participant annotations are freely available for research purposes. The database can be used to enrich our understanding of emotions further and serve as a guide to select or create additional materials.

翻译：使用情感电影片段诱发情绪是情感计算中最常见且生态效度最高的方法之一。然而，筛选并验证能诱发多种情绪的恰当材料颇具挑战。本文提出EmoStim：一个内容丰富的电影片段情感数据库。该数据库专为研究离散模型或成分模型框架下情绪的研究者设计。我们从文献中选取139个电影片段，通过CrowdFlower平台由638名参与者进行标注。基于主观评分的分布特征，我们筛选出99个能有效区分离散模型所定义情绪类型的电影片段，并证明这些片段能可靠地诱发离散模型中特定的多种情绪。此外，我们描述了情绪间的关联、成分空间中的情绪组织方式，以及表征情绪体验的潜在维度。EmoStim数据库及其参与者标注数据可免费用于研究目的。该数据库既能深化我们对情绪的理解，也可作为筛选或创建新实验材料的参考指南。