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Henry Wilson
Henry Wilson

Micro Expression Training Tool Mett By Paul Ekman


This profile (side-view) training is appropriate for people wishing to build on their frontal-view micro expression knowledge, and is appropriate for anybody who works in groups. Whenever multiple people are present, we often see only the profile view of some individuals. In addition, those working in surveillance can greatly benefit from this training.




micro expression training tool mett by paul ekman


Download Zip: https://www.google.com/url?q=https%3A%2F%2Fmiimms.com%2F2u1OEr&sa=D&sntz=1&usg=AOvVaw19Q0uj8tKpYounkU3jLVqK



The online training tools are interactive modules which help you learn to detect micro expressions and respond to emotional expressions. There are a total of seven training tools which are combined into three different packages. The format of each tool is a little different but generally follows a series of learning, practice, and test sections to measure your accuracy and improvement over time.


The online training tools are designed to teach you the everyday skills of reading and responding to micro expressions, whereas the FACS manual is a much more technical guide often used by researchers, animators, and in other various professional settings. Therefore, for anyone interested in learning about micro expressions, we generally recommend starting with the training tools on this page.


With 50 years of research and innovative study - Dr. Paul Ekman has developed this online training - based on reading micro facial expressions and subtle facial expressions. This training has been scientifically proven and field tested and is now the basis of a television show on FOX/SKY tv - LIE TO ME - to which Dr. Paul Ekman is the Scientific Consultant.Dr Paul Ekman designed and endorsed training will improve your ability to "see" and "relate" to the world around us.


When people deliberately try to conceal their emotions, or unconsciously repress their emotions, a very brief facial expression often occurs. This is invisible to nearly everyone who has not trained with METT as it usually occurs for only 1/15 to 1/25 of a second. Training with METT enables you to better spot truth and lies, put people at ease, understand others more deeply and be more successful in many contexts including sales, leadership, management, coaching and customer service. While most of us miss the valuable signs of concealed emotions, the Micro Expression Training Tool (METT) will enable you to spot most of them. The facial expressions of anger, fear, sadness, disgust, contempt, surprise and happiness are universal - the same for all people.METT includes a Pre-Test to establish how many micro expressions you can spot without training, followed by Training, Practice, and a Post-Test so you can see how much you have improved.Access the Online courses and tools.


Paul Ekman, Ph.D., has been studying facial expression, body movement, emotion and deception for more than 40 years. He is professor emeritus of psychology at the University of California, San Francisco. He has authored or edited 15 books, most recently Emotions Revealed, and co-authored with the Dalai Lama Emotional Awareness. Ekman and his associates provide online training on how to recognize concealed emotions in micro expressions. Currently he is the scientific adviser to a dramatic television series on FoxTV's Lie To Me, which is based largely on his research.


Other tools have been developed, including the MicroExpressions Training Tool (METT), which can help individuals identify more subtle emotional expressions that occur when people try to suppress their emotions. Application of this tool includes helping people with Asperger's or autism to recognize emotional expressions in their everyday interactions. The Subtle Expression Training Tool (SETT) teaches recognition of very small, micro signs of emotion. These are very tiny expressions, sometimes registering in only part of the face, or when the expression is shown across the entire face, but is very small. Subtle expressions occur for many reasons, for example, the emotion experienced may be very slight or the emotion may be just beginning. METT and SETT have been shown to increase accuracy in evaluating truthfulness[citation needed].


Ekman has contributed to the study of social aspects of lying, why people lie,[31] and why people are often unconcerned with detecting lies.[32] He first became interested in detecting lies while completing his clinical work. As detailed in Ekman's Telling Lies, a patient he was involved in treating denied that she was suicidal in order to leave the hospital. Ekman began to review videotaped interviews to study people's facial expressions while lying. In a research project along with Maureen O'Sullivan, called the Wizards Project (previously named the Diogenes Project), Ekman reported on facial "microexpressions" which could be used to assist in lie detection. After testing a total of 20,000 people[33] from all walks of life, he found only 50 people who had the ability to spot deception without any formal training. These naturals are also known as "Truth Wizards", or wizards of deception detection from demeanor.[34]


Figure 1. Experiment design. (A) Experimental procedure. Two visits were made. In the first visit, participants underwent anodal or sham stimulation and then completed the Chinese version of Micro-Expression Training Tool (METT); in the second visit 2 weeks later, they only finished the Chinese version of METT. The Chinese version of METT included five sections, pre-test, training, practice, review, and post-test. In the sections of pre-test and post-test, participants were asked to choose one of eight emotion labels after seeing the stimuli. The stimuli of pre-test included static expressions, artificial and spontaneous micro-expressions. The stimuli of post-test included artificial and spontaneous micro-expressions. (B) Placement of the anodal electrode for the right temporal parietal junction (rTPJ) between P6 and CP6 regions (top row) and the normalized electric field (NormE) derived from electric field modeling calculations using SimNIBS (bottom row). (C) The time series of artificial and spontaneous micro-expression in disgust. Source: L.F. Chen and Y.S. Yen, Taiwanese facial expression image database, Brain Mapping Laboratory, Institute of Brain Science, National Yang-Ming University, 2007.


I mentionedbefore reading Blink and becoming fascinated with studying facial emotionwith the FacialAction Coding System (FACS). I'd played with some of the online tools likeArtnatomy, but apparentlyfull FACS training takes 80 hours and requires a bunch of video; you can't learnit from a book since you have to be trained to recognize fleeting subtleexpressions and what they mean.So I ordered a trainingCD from the lab of Paul Ekman, who is one of the researchers whodeveloped FACS and it finally came.Micro Expression Training ToolWhile most facial expressions last for two or three seconds, microexpressions last a fraction of that -- 1/25th of a second. These aresigns of emotions just emerging; emotions expressed before the persondisplaying them knows what he or she is feeling, or emotions the personis trying to conceal. You can learn to spot these micro expressionsand have access to this valuable information.Subtle Expression Training ToolWith SETT -- in under an hour -- you can train yourself to seevery small facial movements that often appear in just one region ofthe face: the brows, eyelids, cheeks, nose or lips. These smallmovements may occur when an emotion begins gradually, when emotionsare repressed or when a person is deliberately trying to eliminateany sign of how he or she is feeling, but a trace still remains.Understanding the code-language of the face seems like a great wayto improve communication, not to mention being able to spot lies,false smiles, contempt, and the like. This seems likeit would be useful in business, relationships, all sorts of situations.I just started working through the exercises on the CD today. We'll see how it goes. Unfortunately this CD isn't full FACS though, I may need to hunt around for additional training materials. Posted on February 12, 2007 5:23 PM Permalink


Patients provide emotional cues during consultations which may be verbal or non-verbal. Many studies focus on patient verbal cues as predictors of physicians' ability to recognize and address patient needs but this project focused on non-verbal cues in the form of facial micro-expressions. This pilot study investigated first year medical students' (n = 75) identified as being either good or poor communicators abilities to detect emotional micro-expressions before and after training using the Micro Expression Training Tool (METT)


No difference in pre-assessment scores was found between the lowest and highest quartile groups (P = 0.797). After training, students in the high quartile showed significant improvement in the recognition of facial micro-expressions (P = 0.014). The lowest quartile students showed no improvement (P = 0.799).


In conclusion, this pilot study showed there was no difference between the ability of medical undergraduate students assessed as being good communicators and those assessed as poor communicators to identify facial micro-expressions. But, the study did highlight that those students demonstrating good general clinical communication benefited from the training aspect of the METT, whereas low performing students did not gain. Why this should be the case is not clear and further investigation should be carried out to determine why lowest quartile students did not benefit.


One question this pilot study therefore wanted to ask was whether one reason for poor communication was due to an inability to recognise facial expressions. This was done by investigating whether there was a difference in the ability of medical students identified as good or poor communicators to perceive facial micro-expressions. Micro-expressions are brief (lasting up to 0.2 seconds) partial expressions which are less obvious than a full (or cardinal) facial expression[2]. The hypothesis tested was that individuals classified as good communicators would perceive facial micro-expressions more accurately than those classified as poor communicators. If this were indeed the case then this would provide us with one area that we could help such students in their clinical communication training.


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