Laboratory for Cognitive and Affective Neuroscience, Tilburg University Tilburg, Netherlands.
Front Psychol. 2011 Aug 9;2:181. doi: 10.3389/fpsyg.2011.00181. eCollection 2011.
Whole body expressions are among the main visual stimulus categories that are naturally associated with faces and the neuroscientific investigation of how body expressions are processed has entered the research agenda this last decade. Here we describe the stimulus set of whole body expressions termed bodily expressive action stimulus test (BEAST), and we provide validation data for use of these materials by the community of emotion researchers. The database was composed of 254 whole body expressions from 46 actors expressing 4 emotions (anger, fear, happiness, and sadness). In all pictures the face of the actor was blurred and participants were asked to categorize the emotions expressed in the stimuli in a four alternative-forced-choice task. The results show that all emotions are well recognized, with sadness being the easiest, followed by fear, whereas happiness was the most difficult. The BEAST appears a valuable addition to currently available tools for assessing recognition of affective signals. It can be used in explicit recognition tasks as well as in matching tasks and in implicit tasks, combined either with facial expressions, with affective prosody, or presented with affective pictures as context in healthy subjects as well as in clinical populations.
全身表情是与面部自然相关的主要视觉刺激类别之一,而身体表情如何被处理的神经科学研究在过去十年中已经进入了研究议程。在这里,我们描述了全身表情的刺激集,称为身体表达动作刺激测试(BEAST),并为情感研究人员社区提供了使用这些材料的验证数据。该数据库由 46 名演员的 254 个全身表情组成,表达了 4 种情绪(愤怒、恐惧、快乐和悲伤)。在所有图片中,演员的面部都被模糊化了,参与者被要求在四项选择强制选择任务中对刺激中表达的情绪进行分类。结果表明,所有的情绪都能被很好地识别,悲伤是最容易的,其次是恐惧,而快乐是最困难的。BEAST 似乎是评估情感信号识别的现有工具的一个很好的补充。它可以用于明确的识别任务,也可以用于匹配任务和内隐任务,与面部表情、情感韵律或情感图片一起使用,作为健康受试者以及临床人群的背景。