Chen Ruiyi, Swallow Khena M
Department of Psychology and Cognitive Science Program, Cornell University.
J Exp Psychol Gen. 2025 Aug;154(8):2158-2178. doi: 10.1037/xge0001783. Epub 2025 May 26.
The human mind automatically divides continuous experience into meaningful events ). Despite abundant evidence that some kinds of situation changes (e.g., action, goal, or location changes) contribute to event segmentation, a component of experience that is critical for understanding and predicting others' behavior, emotion, is rarely investigated. In two experiments, we sought to establish that viewers can track emotion changes while viewing naturalistic videos and that these changes contribute to event segmentation. Participants watched commercial film excerpts while identifying either emotion changes or (moments that separate two events) of different grains (Experiment 1: neutral grain; Experiment 2: fine grain or coarse grain). We found that participants agreed with each other about when emotion changes occurred in the videos, demonstrating that viewers are able to track changes in the emotional content of dynamic naturalistic videos as they are experienced. Moreover, the emotion changes participants identified were temporally aligned with the event boundaries identified by other groups. In addition, valence and arousal changes rated by a separate group of participants uniquely predicted the likelihood of identifying emotion changes and event boundaries, even after accounting for other types of change. However, emotion changes were more strongly tied to valence changes than arousal changes while coarse boundaries were more strongly associated with affective changes than were fine boundaries. These novel findings suggest that emotional information plays a substantial role in structuring ongoing experiences into meaningful events, providing a stronger basis for understanding how emotion shapes the perception and memory of everyday experiences. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
人类的思维会自动将连续的体验划分为有意义的事件。尽管有大量证据表明某些类型的情境变化(例如动作、目标或位置变化)有助于事件分割,但体验中的一个对理解和预测他人行为至关重要的组成部分——情感,却很少被研究。在两项实验中,我们试图证实,观众在观看自然主义视频时能够追踪情感变化,并且这些变化有助于事件分割。参与者观看商业电影片段,同时识别不同粒度的情感变化或(分隔两个事件的时刻)(实验1:中性粒度;实验2:细粒度或粗粒度)。我们发现,参与者在视频中情感变化发生的时间上达成了一致,这表明观众在体验动态自然主义视频时能够追踪其情感内容的变化。此外,参与者识别出的情感变化在时间上与其他组识别出的事件边界一致。此外,即使在考虑了其他类型的变化之后,另一组参与者评定的效价和唤醒变化也能独特地预测识别情感变化和事件边界的可能性。然而,情感变化与效价变化的关联比与唤醒变化的关联更强,而粗边界与情感变化的关联比细边界更强。这些新发现表明,情感信息在将正在进行的体验构建为有意义的事件中起着重要作用,为理解情感如何塑造日常体验的感知和记忆提供了更有力的基础。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)