Department of Psychiatry, Chi Mei Medical Center, Tainan, Taiwan.
Psychiatry Res. 2012 Dec 30;200(2-3):928-32. doi: 10.1016/j.psychres.2012.03.038. Epub 2012 Apr 12.
The Chinese Facial Emotion Recognition Database (CFERD), a computer-generated three-dimensional (3D) paradigm, was developed to measure the recognition of facial emotional expressions at different intensities. The stimuli consisted of 3D colour photographic images of six basic facial emotional expressions (happiness, sadness, disgust, fear, anger and surprise) and neutral faces of the Chinese. The purpose of the present study is to describe the development and validation of CFERD with nonclinical healthy participants (N=100; 50 men; age ranging between 18 and 50 years), and to generate normative data set. The results showed that the sensitivity index d' [d'=Z(hit rate)-Z(false alarm rate), where function Z(p), p∈[0,1]], for all emotions was 0.94. The emotion was more readily detected in happiness, and less easily detected in surprise and sadness. In general, this study replicated the previous findings on the recognition accuracy of emotional expression with the Westerner faces. However, our paradigm extends the previous work by including a wider sensitivity range to differentiate subtle perception of emotion intensities. The CFERD will be a useful tool for emotion recognition assessment in affective neurosciences research, especially for the Chinese and cross-cultural studies.
中文人脸情绪识别数据库（CFERD）是一种计算机生成的三维（3D）范式，用于测量不同强度下的面部情绪表达识别。刺激物由六个基本面部情绪表达（快乐、悲伤、厌恶、恐惧、愤怒和惊讶）的 3D 彩色摄影图像以及中国人的中性面孔组成。本研究的目的是描述 CFERD 的开发和验证，使用非临床健康参与者（N=100；50 名男性；年龄在 18 至 50 岁之间），并生成常模数据集。结果表明，所有情绪的敏感指数 d'[d'=Z（击中率）-Z（虚报率），其中函数 Z（p），p∈[0,1]]为 0.94。情绪在快乐中更容易被检测到，在惊讶和悲伤中则更难被检测到。总的来说，这项研究复制了之前关于西方人脸表情识别准确性的发现。然而，我们的范式通过包括更广泛的灵敏度范围来扩展了之前的工作，以区分情绪强度的微妙感知。CFERD 将成为情感神经科学研究中情绪识别评估的有用工具，特别是对于中国人和跨文化研究。
