Department of Psychology, Pennsylvania State University, University Park, PA, United States of America.
PLoS One. 2020 Feb 3;15(2):e0228248. doi: 10.1371/journal.pone.0228248. eCollection 2020.
The vast majority of empirical work investigating the mechanisms supporting the perception and recognition of facial expressions is focused on basic expressions. Less is known about the underlying mechanisms supporting the processing of complex expressions, which provide signals about emotions related to more nuanced social behavior and inner thoughts. Here, we introduce the Complex Emotion Expression Database (CEED), a digital stimulus set of 243 basic and 237 complex emotional facial expressions. The stimuli represent six basic expressions (angry, disgusted, fearful, happy, sad, and surprised) and nine complex expressions (affectionate, attracted, betrayed, brokenhearted, contemptuous, desirous, flirtatious, jealous, and lovesick) that were posed by Black and White formally trained, young adult actors. All images were validated by a minimum of 50 adults in a 4-alternative forced choice task. Only images for which ≥ 50% of raters endorsed the correct emotion label were included in the final database. This database will be an excellent resource for researchers interested in studying the developmental, behavioral, and neural mechanisms supporting the perception and recognition of complex emotion expressions.
绝大多数研究面部表情感知和识别机制的实证工作都集中在基本表情上。对于支持更复杂表情处理的潜在机制，我们了解得较少，而这些复杂表情提供了与更细微的社会行为和内在思想相关的情绪信号。在这里，我们引入了复杂情绪表达数据库（CEED），这是一个由 243 个基本表情和 237 个复杂情绪面部表情组成的数字刺激集。这些刺激代表了六种基本表情（愤怒、厌恶、恐惧、快乐、悲伤和惊讶）和九种复杂表情（喜爱、吸引、背叛、心碎、轻蔑、渴望、挑逗、嫉妒和相思），由黑人和白人受过正式训练的年轻成年演员摆出。所有的图像都经过至少 50 名成年人在 4 种选择强制任务中的验证。只有在 ≥ 50%的评分者认可正确的情绪标签的图像才会被包括在最终的数据库中。这个数据库将是研究人员研究支持复杂情绪表达感知和识别的发展、行为和神经机制的极好资源。
