生態(tài)化微表情識別測驗EMERT的建立——對JACBART微表情識別測驗的改進與發(fā)展
發(fā)布時間:2018-06-19 21:23
本文選題:生態(tài)化微表情識別測驗 + 生態(tài)化微表情識別的特征。 參考:《心理學報》2017年07期
【摘要】:經(jīng)典JACBART微表情識別測驗只考察平靜表情背景下微表情識別,生態(tài)效度不高。本研究創(chuàng)建生態(tài)化微表情識別測驗,考察所有7種基本表情背景下的6種微表情識別特征。結(jié)果發(fā)現(xiàn):(1)該測驗具有良好的重測信度、校標效度和生態(tài)效度,能夠穩(wěn)定有效地測量生態(tài)化微表情識別。(2)信效度檢驗揭示了生態(tài)化微表情識別特征。某些生態(tài)化微表情識別存在訓練效應。生態(tài)化微表情與經(jīng)典微表情或普通表情普遍相關(guān)?謶、悲傷、厭惡、憤怒微表情背景主效應顯著;驚訝和愉快微表情背景主效應不顯著,成對比較發(fā)現(xiàn)各背景下驚訝/愉快微表情差異不顯著,但是與普通表情有廣泛的顯著差異。用不同背景下微表情識別正確率的標準差定義生態(tài)化微表情識別波動,發(fā)現(xiàn)生態(tài)化微表情識別具有穩(wěn)定的波動性。
[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.
【作者單位】: 蘇州大學教育學院;
【基金】:國家自然科學基金(31271084)資助
【分類號】:B842.6
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本文編號:2041333
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