ISSN 1671-3710
CN 11-4766/R

Advances in Psychological Science ›› 2016, Vol. 24 ›› Issue (11): 1723-1736.doi: 10.3724/SP.J.1042.2016.01723

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Characteristics, recognition, training of microexpressions and their influence factors

YIN Ming1,2; ZHANG Jianxin2; SHI Aiqin3; LIU Dianzhi2   

  1. (1 Jiangsu Police Institute, Nanjing, 210031, China; 2 School of Education, Soochow University, Soochow 215123, China; 3 School of Education Science, Nanjing Normal Universitye, Nanjing 210024, China)
  • Received:2015-12-14 Online:2016-11-15 Published:2016-11-15
  • Contact: LIU Dianzhi, E-mail: liudzh@suda.edu.cn ZHANG Jianxin, E-mail: blade_kensin@163.com

Abstract:

Microexpressions are caused by true feelings which leak from oppression and hiding, and their last times are about 1/25~1/2 s. They often appear in lie situations, and may be result of "tug of war" between voluntary facial movements controlled by vertebral bunch of motor system and involuntary facial movements controlled by vertebral body movement system。Preverse reaserches have built a series of microexpression databasees, and developed BART and JACBART microexpression recognition tests as well as training tool such as METT, and discussed relationships among microexpression recognition and cognition, personality, culture, and professional. But these studies only detectived microexpressions under the background of neutral expression, which were special cases of real microexpressions set in various expressions backgrounds, therefore they did not have a high level of ecological validity. A small amount of researches have explored effect of expressions backgrounds in microexpression recognition, but did not establish any standardized test. So in the future we should develop ecological microexpression recognition standard tests and training tools, establish ecological microexpression database, and use them in many fields. We should also get through the boundary of occurrence and recognition of microexpression, and explore their mechanisms by using physiological-psychological, electrophysiological and brain imaging techniques.

Key words: characteristics of microexpression, microexpression recognition test, microexpression training, influence factor, ecological microexpression