Original Research ARTICLE
The establishment of weak ecological microexpressions recognition test (WEMERT): An extension on EMERT
- 1Soochow University, China
The JACBART microexpression recognition test only examined the expression of facial expression under the neutral expression background, and the ecological validity was not high. The EMERT microexpression recognition test examined six mocroexpressions under seven background expressions, but did not detect the intensity of expressions. In this study, an weak ecological microexpressions recognition test WEMERT was established to examine the recognition features of six weak microexpressions in all seven high intensity basic expressions. The result found:(1)the test had good retest reliability, criterion validity and ecological validity. (2) The reliability and validity tests revealed a lot of characteristics of weakl microexpressions recognition. There were training effects in some weak microexpressions recognition. Weak microexpressions recognition were generally positively related to microexpressions recognition of JACBART, but were generally negatively related to approximate common expressions. The standard deviations of the accuracy of of the weak microexpressions in different background expressions were used to define the fluctuations of the weak microexpression recognition and we found that weak microexpressions recognition had many fluctuations. (3)Personality openness and its subdimensions were generaly positively related to some weak microexpression recognition, except that O1 was significantly negatively related to surprise under neutral.
Keywords: weak ecological microexpressions recognition test, background expressions, JACBART microexpressions, fluctuation of weak microexpressions recognition, Openess
Received: 05 Aug 2018;
Accepted: 28 Jan 2019.
Edited by:Krystian Radlak, Silesian University of Technology, Poland
Reviewed by:Ioannis Pavlidis, University of Houston, United States
Muhammad J. Khan, National University of Sciences and Technology, Pakistan
Copyright: © 2019 Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Dr. Jianxin Zhang, Soochow University, Suzhou, China, email@example.com
Prof. Dianzhi Liu, Soochow University, Suzhou, China, firstname.lastname@example.org