认知与发展心理学研究室知识库

在心理语言学领域, 情绪信息加工是语篇理解的重要方面, 得到了广泛关注。目前的研究表明, 读者在语篇阅读中可以在线地、自动地推测出语篇情绪信息, 追踪情绪信息的变化, 并对其进行更新。语篇理解相关的模型及一些事件相关电位(ERP)的实证研究表明语篇情绪理解至少包括两个重要的加工过程：一是对语篇情绪信息的实时监控, 二是对当前情绪信息的评估与更新。相关的功能磁共振(fMRI)的研究表明语篇情绪理解除了需要经典的情绪加工网络, 还需要多个脑区网络的参与, 如, 语篇理解网络、心理理论(ToM)网络。未来研究还需更加深入地、更加细致地探讨语篇情绪理解的认知神经机制及其可能的影响因素, 研究成果也可以为情感计算领域提供一定的借鉴。

Emotion comprehension is of great significance for discourse comprehension and it is widely studied in psycholinguistics. Previous studies demonstrated that readers infer emotional information in discourse on-line and automatically. What’s more, readers can keep track of emotional change in discourse and update their situation model accordingly. Recently, some empirical ERP studies and related discourse comprehension theories showed that at least two processes are involved in emotion comprehension in discourse: one is the monitoring of emotional information and the other is the evaluation and updating of current emotional information. Related fMRI studies suggested that emotion comprehension in discourse activated not only emotion network, but also other networks, such as narrative comprehension network and theory of mind (ToM) network. In the future, more studies are needed to explore the influential factors of emotion comprehension and its cognitive neural mechanisms. The findings can be useful for the studies of emotion computing.