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Information:
江苏警官学院,南京
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Keywords:
Micro-expression; Traditional micro-expression recognition training; Ecological micro-expression recognition test (EMERT); Ecological micro-expression recognition training tool (EMETT)
微表情; 经典微表情识别能力训练; 生态化微表情识别测验; 生态化微表情识别能力训练
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Abstract:
To address the problem of insufficient ecological validity in traditional micro-expression recognition training tools, this study constructed the Ecological Micro-expression Recognition Training Tool (EMETT) based on the Ecological Micro-expression Recognition Test (EMERT) to develop a micro-expression ability improvement system more closely aligned with real-world scenarios, and conducted an empirical application study to test its training effects. Forty-six investigative trainees and 36 frontline investigative police officers were recruited as participants, and a five-stage paradigm of pretest-three training sessions-posttest was adopted. The recognition accuracy of six microexpressions under different emotional backgrounds was taken as the indicator, and training effects were analyzed using mixed-design ANOVA and one-sample t-tests. The results showed that the main effect of EMETT training was significant (F(1,75)=242.34, p<0.001, ηp2=0.766), with participants’ posttest accuracy significantly higher than pretest accuracy. No significant difference was found in the overall training effect between trainees and police officers; only the happy micro-expression showed different improvement magnitudes due to baseline differences in pretest scores. The increments in each training stage were all significantly greater than zero, indicating a stable and effective training process. This study demonstrates that EMETT can significantly improve participants’ ecological micro-expression recognition ability. A standardized micro-expression recognition training tool with high ecological validity was successfully developed, providing methodological support for the practical application and academic research of microexpressions.
针对传统微表情识别训练工具生态效度不足的问题,为构建更贴合真实情境的微表情能力提升体系,研究在生态化微表情识别测验(EMERT)基础上,建立生态化微表情识别训练工具(EMETT)并对其进行实证应用研究,以46名侦查学员与36名基层侦查民警为对象,检验其训练效果。采用前测—三次训练—后测的五阶段范式,以不同情绪背景下六种微表情的识别正确率为指标,通过混合方差分析与单样本t检验分析训练效应。结果显示,EMETT训练后主效应显著(F(1,75)=242.34,p<0.001,ηp²=0.766),被试后测正确率显著高于前测;侦查学员与民警整体训练效果无显著差异,仅愉快表情因前测基线差异出现提升幅度不同;各训练阶段增量均显著大于0,训练过程稳定有效。研究表明,EMETT可显著提升训练人员的生态化微表情识别能力。成功构建出具备高生态效度的标准化微表情识别训练工具,为微表情的实战应用与学术研究提供方法支撑。
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DOI:
10.35534/pc.0805109 (registering DOI)
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Cite:
王震, 殷明. (2026). 生态化微表情识别能力训练EMETT的实证应用研究. 中国心理学前沿, 8 (5), 730-736.