论同人小说的情感传播途径--走向情感叙事
An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling
摘要：
人类讲述的故事以情感为中心，这一点得到了文学和心理学众多研究的支持。近年来，自动讲故事的研究转向了情感讲故事，其中人物的情感在情节发展中起着重要作用。然而，这些研究主要是利用情感来生成命题陈述，如“A对B有感情”或“A面对B”。与此同时，情感行为并不能归结为这样的命题描述，因为人类在沟通情感时表现出复杂且高度可变的模式，无论是口头还是非口头。在本文中，我们分析了情感是如何表达的非语言在一个语料库的风扇小说短篇小说。我们的分析表明，人类写的故事通过各种非语言渠道传达角色情感。我们发现，一些非语言渠道，如面部表情和声音特征的字符，更强烈地与喜悦，而手势和身体姿势更容易发生与信任。基于我们的分析，我们认为，自动讲故事系统应该考虑到情感的变化时，产生的字符的情感描述。
英文摘要：
Centrality of emotion for the stories told by humans is underpinned by numerous studies in literature and psychology. The research in automatic storytelling has recently turned towards emotional storytelling, in which characters' emotions play an important role in the plot development. However, these studies mainly use emotion to generate propositional statements in the form "A feels affection towards B" or "A confronts B". At the same time, emotional behavior does not boil down to such propositional descriptions, as humans display complex and highly variable patterns in communicating their emotions, both verbally and non-verbally. In this paper, we analyze how emotions are expressed non-verbally in a corpus of fan fiction short stories. Our analysis shows that stories written by humans convey character emotions along various non-verbal channels. We find that some non-verbal channels, such as facial expressions and voice characteristics of the characters, are more strongly associated with joy, while gestures and body postures are more likely to occur with trust. Based on our analysis, we argue that automatic storytelling systems should take variability of emotion into account when generating descriptions of characters' emotions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
