Have you ever seen your Candidates’ or Employees Emotions while answering a question?

ETC AI generates the EMOTIONAL FINGERPRINT ®

Artificial Intelligence + Hard Data Metrics + Collective Human Perception = ETC AI Solutions

Microexpressions + Voice Intelligence + Speech-to-Text (transcripts) to create Correlations, Reducancy & Interpretations Backup in Predictive Models.

Reading and Analyzing Emotions!

Microexpressions

Are quick and involuntary facial expressions that occur as a manifestation of an emotion we are feeling. I will tell you a secret: these allow us to know what the person with whom we are relating is feeling since they are innate and of a universal nature.

Learning to identify them will facilitate your relationships improving the expression of your emotions and with it your needs and in turn those of your partner, friends, family, etc. On the other hand, beneficial advice to know what it is that is feeling a person is to imitate their facial expression.

This trick allows us to understand that by manipulating our body language we can experience any emotional response we desire. Human has the natural power to generate emotions through our expression.

 

“The most important thing in communication is knowing how to listen to what is not said.”

-Peter Drucker-

 

 

 

Voice Intelligence is the ETC AI Speech Emotion Recognition process

Speech is the most natural way of expressing ourselves as humans. It is only natural then to extend this communication medium to A.I. applications.

ETC Voice Intelligence as a collection of methods that process and classify speech signals to detect the embedded emotions.

A data set of objectively measurable voice parameters that reflect the affective state a person is currently experiencing while ansering a question.

 

How the ETC VOICE Intelligence technology works? 

The changes in the autonomic and somatic nervous systems, which in turn modify different aspects of the voice generation process. As an example, the sympathetic arousal associated with an anger state, produces changes in respiration and an increase in muscle tension, which influence the vibration of the vocal folds and vocal tract shape, affecting the acoustic characteristics of the speech regarding the waveform, intensity, spectrogram, pitch, and duration.

 

 

Speech-to-Text (Transcripts)

 

Speech-to-text conversion is the process of generating from spoken words into written texts. This process is also often called speech recognition, with a wider process of extracting meaning from speech.

A written transcription allows you to quote the interviewee exactly, and even cut-and-paste specific sections into other documents. More accurate records can help you prove a specific outlook, emphasize a particular point, or provide better context for the Examiner or Observers findings.

 

ETC AI word cloud is a visual representation of words. We use it to highlighting popular words and phrases based on frequency and relevance. They provide you with quick and simple visual insights that can lead to more in-depth analyses.

 

 

 

Analyzing Microexpressions

 

How many facial expressions are there?

ETC can manage so far, more than 100 different facial expressions have been cataloged, with only six basic emotions identified. Universal and subtle gestures that allow us to read emotions in the face of the person. We are looking at, and form the basis of the rest of facial expressions.

 

The Universality of Facial Expressions of Emotion

 

Science’s most important contribution to our understanding of emotion concerns the universality of facial expressions of emotion. Charles Darwin (1872) was the first to suggest that emotions were universal; his concept about emotions was a centerpiece of his theory of evolution, suggesting that emotions and their expressions were biologically innate and evolutionarily adaptive and that similarities in them could be seen genetically.

 

Early research testing Darwin’s ideas, was inconclusive (Ekman, Friesen, & Ellsworth, 1972), and the dominant perspective in psychology was that facial expressions were culture-specific – that is, just as every culture had its own verbal language, it had its own language of facial expressions. Darwin’s claims were resurrected by Tomkins (1962, 1963), who suggested that emotion was the basis of human motivation and that the seat of emotion was in the face. Tomkins conducted the first study demonstrating that facial expressions were reliably associated with certain emotional states (Tomkins & McCarter, 1964).

 

Later, Tomkins recruited Paul Ekman and Carroll Izard to conduct today’s “Universality Studies.” The first of these demonstrated high cross-cultural agreement in judgments of emotions in faces by people in both literate (Ekman, 1972, 1973; Ekman & Friesen, 1971; Ekman, Sorenson, & Friesen, 1969; Izard, 1971) and preliterate cultures (Ekman & Friesen, 1971; Ekman, et al., 1969). Then Friesen’s (1972) study documented that the same facial expressions of emotion were produced spontaneously by members of very different cultures in reaction to emotional films.

 

Since the original universality studies, more than 30 studies examining judgments of facial expressions have replicated the universal recognition of emotion in the face (reviewed in Matsumoto, 2001). In addition, a meta-analysis of 168 datasets examining judgments of emotion in the face and other nonverbal stimuli indicated universal emotion recognition well above chance levels (Elfenbein & Ambady, 2002).

 

Moreover, there have been studies that have demonstrated that these same facial expressions are produced when emotions are elicited spontaneously (Matsumoto, Keltner, Shiota, Frank, & O’Sullivan, 2008). These findings are impressive given that they have been produced by different researchers worldwide in different laboratories using different methodologies with participants from many different cultures but reaching the same set of results. 

 

By David Matsumoto and Hyi Sung Hwang, May 2011

https://www.apa.org/science/about/psa/2011/05/facial-expressions

 

The six basic microexpressions constitute the following:

 

Anger

The micro-expression of anger concentrates in the upper part of the face, where we go down and put our brows together with frowning brows. The mouth we tend to tighten and tighten, slightly separating the lips and clenching the teeth.

A gesture of anger is to point your chin forward defiantly

 

Fear

This micro-expression is characterized by tense eyebrows and wide-open eyes to visualize everything we can of our visual field since we perceive danger somewhere.

The lower section of the face the jaw is loose, constituting a behavior also instinctive to allow us to scream and take oxygen.

 

Joy

The joy shows with slanted eyes and wrinkles on the outer ends and lower eyelids — a trick: when a person pretends happiness those wrinkles do not form. We will also show the characteristic smile, which the happier we feel, the more we will open until we show our teeth.

 

Ten muscles are required to smile in which only the upper lip and corners of the mouth are lifted. A similarly minimal frown requires only six muscles to lower the corners of the mouth.

 

Surprise

It appers by raised and arched eyebrows with wide eyes. In the lower section of your face, the jaw is loose, and the mouth is open.

“In a conversation body language is much more important than verbal and through body language is given a lot of information that we do not say and rarely observe.”

 

Sadness

Probably is the most complex microexpressions of pretending. It is characterized by low eyebrows that meet subtly in the center. The mouth usually arches it down.

 

Disgust

This expression is one of the easiest to identify since all the emotion concentrates between the mouth and the nose. The nose wrinkles and the upper lip rises, often leaving the upper teeth visible. We also show it in personal relationships when we feel disapproval or someone dislikes us.

 

 

Since these are very brief facial movements, it is difficult for the person to simulate them or, what is the same, to believe them intentionally. So these expressions are considered the most reliable way to discover the truth in a person.

Also, remember that facial expressions are universal, so they apply to everyone equally regardless of their beliefs or customs.

 

 

They are involuntary and spontaneous.

 

As it is about unconsciously made expressions, the person performs them without being aware that others perceived and interpreted them and therefore associated them with attitudes around a situation in progress.

For example, Susan is very afraid of being questioned by her mother since she arrived late home. No matter how hard she tries to calm down, her expression is pale and her lips tremble as soon as he comes, and her gaze becomes exorbitant waiting for the question.

 

Another example is that we can interpret if a person understood what is being said through a quick reading of the movements he makes with his eyebrows and his brow, and the way he opens his eyes.

If you did not understand the message, your eyebrows would come together with a little more than usual. On the other hand, if he realized, he is more likely to open his eyes a little more, and this raises his eyebrows. If you pay attention, it is very safe to nod, all at the same time.

 

 

Microexpressions are essential because the face is the most visible and exposed of the human body before the eyes of others.

If you know the primary signals of the different facial movements, you can detect a liar or determine if those around you are reliable, optimistic, sure of themselves, if they are uncomfortable, confused or annoying.

It will also serve to self-control your expressions in communication with others.

 

 

Everything starts by paying attention to the face.

Understanding nonverbal behavior begins with the face. The face has 43 muscles, so many movements can arise from a thought or situation that affects the person positively or negatively.

You can do the test and make a person laugh! See how when you blink open and close your mouth and stretch your skin. You can also scare her and watch her eyes go wild and pale.

 

It is possible that at this moment you think that learning to read a face is a very complex task. You can improve significantly by using Cheating Detector APP in the art of reading microexpressions.

But, believe it or not, anyone can learn to read a face.

Just pay attention to the small details and start analyzing the people closest to your environment. Because with them it will be simpler to make sure that what you have examined goes hand in hand with the personality of your relatives and their real thoughts.

 

 

Ethical Issues about reading Microexpressions

 

The law protects us from self-incrimination, but micro-expressions can provide the interviewer with the possibility of discovering such incriminating details. Just by what the person inadvertently shows.

The question is whether it is ethical for trained people in detecting microexpressions not to inform those questioned of this invasion in their privacy? Do the alleged perpetrators have the right to wear a ‘mask’ to preserve their protection?

 

What is more, there are many professionals (lawyers, negotiators, politicians, bankers, counselors, salespeople, etc.). Whose interests are not always ideal, and now they can, without warning, invade the privacy of their interlocutors.

 

The technology of ETC allows to detect with accuracy 98% of millions of microexpressions in a session and show us results compellingly and straightforwardly.

 

Knows that this powerful non-verbal communication tool that allows the invasion in a very private area of people’s lives. The feeling that they do not want everyone to know they are experiencing.

 

And yet, the invasion of this type of privacy serves to uncover deception and contribute to the public good. It helps to tune in and connect with our interlocutor and find us, therefore, in better conditions to improve.

 

All we can hope for is that all this knowledge will be used to a greater extent by what we consider right. To help people, rather than to harm, deceive or exploit people.

And you, what do you think?

 

 

Identify Macroexpressions.

 

A macro expression is happening with a gesture that goes along with a feeling and lasts 4 or 5 seconds. Usually, it involves the whole face.

These types of expressions are shown when a person is alone or with a close relative or friend. They last longer than the macro expressions because the person is comfortable in their environment and does not have the need to hide their emotions.

Macro expressions are relatively easy to see if you know what to look for in a person.

 

 

A microexpression is an abbreviated version of the emotional facial expression. They show up on the face in a fraction of a second, sometimes 1/30 of a second. They happen so fast that if you blink, you can lose them.

Usually, micro expressions are a sign of hidden emotions. Sometimes, feelings are not deliberately hidden but process very quick.

 

There are two neuronal pathways in the brain that regulate facial expressions. These enter a kind of “tug-of-war” with the face when someone is in an emotionally intense situation but tries to hide their feelings.

 

 

Start looking for these expressions in others.

 

You can develop the ability to read facial expressions, that can benefit people of different professions.

Especially those who work with the public; for example, human resources, therapists, health professionals, professors, researchers, business professionals or anyone interested in improving their interpersonal relationships.

 

When you can start a conversation with someone, try to establish a baseline of the face (first question of the diagnose). The baseline response should be neutral muscular facial activity when you feel almost nothing or no emotions.

Then, throughout the conversation, look for macro or micro expressions and see if they fit with what the person says (seven questions on the subject).

 

 

Confirm your observations carefully.

 

Being able to read facial expressions do not necessarily reveal the cause of the emotion. It only shows that feeling can occur at that moment.
Do not assume or ask questions based on what you suppose. You can ask “do you want to talk more about that?”. If you suspect that someone is hiding their emotions.

 

 

Asking  “Are you sad or upset?”

 

To a person, you do not know very well or to someone with whom you have a professional relationship can be very invasive and can upset the person. You must be sure that the other person feels comfortable with you before asking questions about your emotions.

 

If you know the other person well, it could be useful to ask him directly about its feelings if you suspect some negative emotion.

First, you should tell him that you are learning to read facial expressions and that it would be helpful to practice with him or her from time to time.

 

 

Be patient.

 

Having ETC AI as a tool or being train to read facial expressions does not give you authority over the feelings of others. You should not assume that you know exactly how they feel without having a conversation previously.

 

If a person has received bad news (they did not raise it to the position they expected), you may not want to ask “are you upset?” Just because you identified a microexpression of anger. Saying “I am willing to talk about this at the time you want” would be a much better response if you suspect that the other person is upset.

 

 

People need time to express themselves!

 

A soft question is perfect to allow them to be ready. People have different ways of communicating. If you believe that a person feels a certain way, it does not mean that they are necessarily willing to talk to you.

Do not assume that someone is lying. If someone’s microexpression contradicts what that person says, it is possible that he is lying. People tend to get excited when they lie for some reasons.

For example for fear of being discovered. Embarrassment or even because they enjoy lying about something they want to avoid.

About the Author

By admin / Administrator, bbp_keymaster

Follow admin
on Apr 23, 2020

Skip to toolbar