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阿姆斯特丹动态面部表情集 - 巴斯强度变化版(ADFES - BIV)的验证:一组表达低、中、高强度情绪的视频

Validation of the Amsterdam Dynamic Facial Expression Set--Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions.

作者信息

Wingenbach Tanja S H, Ashwin Chris, Brosnan Mark

机构信息

Department of Psychology, University of Bath, Bath, United Kingdom.

出版信息

PLoS One. 2016 Jan 19;11(1):e0147112. doi: 10.1371/journal.pone.0147112. eCollection 2016.

Abstract

Most of the existing sets of facial expressions of emotion contain static photographs. While increasing demand for stimuli with enhanced ecological validity in facial emotion recognition research has led to the development of video stimuli, these typically involve full-blown (apex) expressions. However, variations of intensity in emotional facial expressions occur in real life social interactions, with low intensity expressions of emotions frequently occurring. The current study therefore developed and validated a set of video stimuli portraying three levels of intensity of emotional expressions, from low to high intensity. The videos were adapted from the Amsterdam Dynamic Facial Expression Set (ADFES) and termed the Bath Intensity Variations (ADFES-BIV). A healthy sample of 92 people recruited from the University of Bath community (41 male, 51 female) completed a facial emotion recognition task including expressions of 6 basic emotions (anger, happiness, disgust, fear, surprise, sadness) and 3 complex emotions (contempt, embarrassment, pride) that were expressed at three different intensities of expression and neutral. Accuracy scores (raw and unbiased (Hu) hit rates) were calculated, as well as response times. Accuracy rates above chance level of responding were found for all emotion categories, producing an overall raw hit rate of 69% for the ADFES-BIV. The three intensity levels were validated as distinct categories, with higher accuracies and faster responses to high intensity expressions than intermediate intensity expressions, which had higher accuracies and faster responses than low intensity expressions. To further validate the intensities, a second study with standardised display times was conducted replicating this pattern. The ADFES-BIV has greater ecological validity than many other emotion stimulus sets and allows for versatile applications in emotion research. It can be retrieved free of charge for research purposes from the corresponding author.

摘要

现有的大多数情感面部表情集都包含静态照片。虽然面部情感识别研究中对具有更高生态效度的刺激的需求不断增加,促使了视频刺激的发展,但这些视频刺激通常涉及完全展现(顶点)的表情。然而,在现实生活中的社交互动中,情感面部表情存在强度变化,低强度的情感表达经常出现。因此,本研究开发并验证了一组视频刺激,描绘了从低到高三个强度级别的情感表达。这些视频改编自阿姆斯特丹动态面部表情集(ADFES),并被称为巴斯强度变化集(ADFES - BIV)。从巴斯大学社区招募的92名健康样本(41名男性,51名女性)完成了一项面部情感识别任务,其中包括以三种不同强度表达以及中性状态表达的6种基本情绪(愤怒、快乐、厌恶、恐惧、惊讶、悲伤)和3种复杂情绪(轻蔑、尴尬、自豪)。计算了准确率得分(原始和无偏(胡)命中率)以及反应时间。所有情感类别都发现了高于随机反应水平的准确率,ADFES - BIV的总体原始命中率为69%。这三个强度级别被验证为不同的类别,与中等强度表达相比,对高强度表达的准确率更高且反应更快,而中等强度表达又比低强度表达的准确率更高且反应更快。为了进一步验证强度,进行了第二项研究,采用标准化的显示时间,重复了这一模式。ADFES - BIV比许多其他情感刺激集具有更高的生态效度,并允许在情感研究中进行多种应用。可从相应作者处免费获取用于研究目的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/515d/4718603/3ceb910531ae/pone.0147112.g001.jpg

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