生态化微表情识别测验EMERT的建立——对JACBART微表情识别测验的改进与发展

发布时间：2018-06-19 21:23

  本文选题：生态化微表情识别测验 + 生态化微表情识别的特征　； 参考：《心理学报》2017年07期

【摘要】：经典JACBART微表情识别测验只考察平静表情背景下微表情识别,生态效度不高。本研究创建生态化微表情识别测验,考察所有7种基本表情背景下的6种微表情识别特征。结果发现:(1)该测验具有良好的重测信度、校标效度和生态效度,能够稳定有效地测量生态化微表情识别。(2)信效度检验揭示了生态化微表情识别特征。某些生态化微表情识别存在训练效应。生态化微表情与经典微表情或普通表情普遍相关。恐惧、悲伤、厌恶、愤怒微表情背景主效应显著;惊讶和愉快微表情背景主效应不显著,成对比较发现各背景下惊讶/愉快微表情差异不显著,但是与普通表情有广泛的显著差异。用不同背景下微表情识别正确率的标准差定义生态化微表情识别波动,发现生态化微表情识别具有稳定的波动性。
[Abstract]:The classical JACBART microfacial expression recognition test only examined the microfacial expression recognition under the calm expression background, but the ecological validity was not high. In this study, an ecological microfacial expression recognition test was established to examine 6 microfacial expression recognition features in all 7 basic facial expressions. The results showed that the test had good test-retest reliability, calibration validity and ecological validity, and could stably and effectively measure ecological micro-expression recognition.) the reliability and validity test revealed the characteristics of ecological micro-expression recognition. There is a training effect in some ecological microfacial expression recognition. Ecological microexpressions are generally associated with classic microexpressions or ordinary expressions. Fear, sadness, disgust, anger, microemoji background effect was significant, surprised and happy microemoji background main effect was not significant, pair comparison found that there was no significant difference in surprised / happy microfacial expression in each background. But there is a wide range of significant differences with ordinary facial expressions. The standard deviation of the correct rate of microfacial expression recognition under different backgrounds is used to define the ecological microfacial expression recognition, and it is found that the ecological microfacial expression recognition has stable volatility.
【作者单位】： 苏州大学教育学院;
【基金】：国家自然科学基金(31271084)资助
【分类号】：B842.6
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本文编号：2041333