面部运动在情绪识别中的作用

IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Nature reviews psychology Pub Date : 2023-03-27 DOI:10.1038/s44159-023-00172-1
Eva G. Krumhuber, Lina I. Skora, Harold C. H. Hill, Karen Lander
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引用次数: 6

摘要

过去大多数关于情绪识别的研究都是使用摆拍的表情照片来描绘情绪显示的顶点。尽管这些研究为我们提供了关于如何从面部感知情绪的重要见解,但它们必然忽略了动态信息的作用。在这篇综述中,我们综合了来自视觉科学、情感科学和神经科学的证据,探讨了动态信息在静态图像所传达的信息之外,何时、如何以及为何有助于情绪识别。动态显示提供了独特的时间信息,如运动的方向、质量和速度,这些信息调动了更高层次的认知过程,支持社会和情感推断,从而增强了对面部情感的判断。动态信息对情绪识别的积极影响在观察者受损和/或面部表情退化或不明显的次优条件下最为明显。动态显示进一步调动了感知者的早期注意力和动机资源,有助于及时发现和预测他人的情绪状态,从而有利于社会交往。最后,由于情绪可以通过各种方式表达,我们研究了不同渠道的动态和静态线索的多模态整合,并对未来的研究提出了建议。人们遇到的大多数人脸都是会动的,但大多数关于情绪识别的研究都是使用摆好表情的照片。在这篇综述中,Krumhuber 等人描述了动态信息是如何在静态图像所传达的信息之外为情绪识别做出贡献的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The role of facial movements in emotion recognition
Most past research on emotion recognition has used photographs of posed expressions intended to depict the apex of the emotional display. Although these studies have provided important insights into how emotions are perceived in the face, they necessarily leave out any role of dynamic information. In this Review, we synthesize evidence from vision science, affective  science and neuroscience to ask when, how and why dynamic information contributes to emotion recognition, beyond the information conveyed in static images. Dynamic displays offer distinctive temporal information such as the direction, quality and speed of movement, which recruit higher-level cognitive processes and support social and emotional inferences that enhance judgements of facial affect. The positive influence of dynamic information on emotion recognition is most evident in suboptimal conditions when observers are impaired and/or facial expressions are degraded or subtle. Dynamic displays further recruit early attentional and motivational resources in the perceiver, facilitating the prompt detection and prediction of others’ emotional states, with benefits for social interaction. Finally, because emotions can be expressed in various modalities, we examine the multimodal integration of dynamic and static cues across different channels, and conclude with suggestions for future research. Most faces that people encounter move, yet most research on emotion recognition uses photographs of posed expressions. In this Review, Krumhuber et al. describe how dynamic information contributes to emotion recognition, beyond the information conveyed in static images.
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