1. BECOMING A FACIAL DECODER
GROUP 3
Faiz Shamsul Haque – 12P134
Chirayu Gandhi – 12P135
Gaurav Gaba – 12P136
Gautam Hariharan – 12P137
Himanshu Gupta – 12P138
Mansi Singhal – 12P148

2. FACIAL ACTION CODING SYSTEM
 The Facial Action Coding System or FACS is
used to identify facial expression
 This identifies the muscles that produce the
facial expressions
 This system measures the relaxation or
contraction of each individual muscle
 Generally includes facial expressions which
cannot be easily manipulated

3. MICRO-EXPRESSIONS
 A micro-expression is a brief,
involuntary facial expression shown on the
face of humans according to emotions
experienced.
 They usually occur in high-stakes situations,
where people have something to lose or
gain.
 They are very brief in duration, lasting only
1/25 to 1/15 of a second

4. NOW THAT’S A LIE!
•A person giving •Famous Monica Lewinski
evidence in Court – Bill Clinton case
•Microexpressions •Paul Ekman saw the
caught while giving an microexpressions and
answer to a lawyer. easily said that Clinton
was lying

5. LIAR! LIAR! LIAR!
 Paul Ekman’s success rate in 80-90%
 Speech doesn't fit voice, voice doesn't fit
face, face doesn't fit body movement.
 Form a baseline, look for microexpressions.
 Some common ways are speech hesistant,
swallows, think an answer, shoulder shrug,
etc.
 These rules change for anxious and low self
confidence people.

6. SMILE PLEASE !
•Left one is a genuine or Duchenne
smile – Corners of the mouth, uplifted
cheeks and wrinkling around the eyes
•Right one is a fake smile – Only
corners of the mouth

7. CAN WE BE EXPERTS ?
 Paul Ekman learned this science in 20 odd
years
 Only 50 ‘Truth Wizards’ after testing 20,000
people
 Need to do a course/ training in FACS or
METT
 Very difficult for a common person to acquire
these traits.

8. POSSIBILITY OF VARIATION
 Perception of facial expression changes with the
background.
 FACS included images cropped to the face
 Perception of change with darkness and lightness
of image
 FACS converted images into gray scale before the
study
 Perception variation with a glance
 FACS rated the face with various power and
leadership traits.
 In FACS every image is converted into
standardized size which help in better discerning
the negative and positive attributes of a face

9. FACIAL EXPRESSION OF CEO’S
Jeff Bezoz Warren Buffet Michael Dell Larry Ellison
51% +ve 69% +ve 47% +ve 0% +ve
Bill Gates Donald Trump
Steve Jobs Phil Knight
73% +ve 48% +ve 67% +ve 16% +ve

10. POSITIVE AFFECT OF FACE
 Sense of motivation and optimism which flows
down from top to bottom in an organization
 Feeling of unison and support for the employees
of all the level hierarchy
 More job involvement and satisfaction leading to
increased performance
 Increased performance leading to higher quality
product to increased customer satisfaction
 Some positive emotions – Amusement,
excitement, pride, satisfaction.

11. NEGATIVE AFFECT OF FACE
 Encourage more hierarchy than flat structure
of organization
 Poor job satisfaction leading to declining
performance
 Some negative emotions – Embarrassment,
guilt, shame and contempt.

12. HOW STUDY CAN BE USED?
 Understanding the structure of organization
 Understanding the correlation with the
employee satisfaction
 Understanding the companies’ performance
(market leader ,follower)

13. HELP IN OUR CAREER
 Help in identifying real emotions
 Decide what a person is thinking and act
accordingly.
 Form right opinion about people – boss,
subordinates, clients, etc. Hence better
decision making.
 Help in recruiting better employees

14. NEXT TIME…
DO NOT LIE TO ME !!
THANK YOU