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THE BENEFITS
OF EXPLICIT/IMPLICIT
HYPER-PERSONALIZATION
1
RAFAL OHME
June 20, 2019
X I X c e n t u r y
age of steam & electricity
X X c e n t u r y
age of information
X X I c e n t u r y
age of personal
information
HYPER-PERSONALIZATION
of products & services
giving a voice
NEW HABIT
FEEDBACK
n e w c u r r e n c y
integration of O+X data
INTELLIGENT
ENTERPRISE
CX FEEDBACK
cognitive &
social BIAS
predicting behavior
is not accurate
SECURITY RIBBON
a smart tech tool
CX/CI
• Confidence Index [CI] – How
much do you hesitate?
Confidence Index – a security ribbon’
in CX feedback
• CX/CI is based on dual
processing, consolidation
of the memory trace and
attitudes accessibility
phenomena
• The algorithms estimate how
much you hesitate when you
state your opinion. The more
certain you are the more
relevant something is for you
or more likely it is you will do
what you have promised
• Research on CX/CI since 2004
• off-line; on-line; mobile
55.7%60.8% 55.3%
REALCX
85.1%96.2% 84.9%
Scottish Independence
Referendum 2014
Polish Presidential Elections 2015
CX/CI
74.9%76% 74.6%French Presidential Elections 2017
6
CX/CI predicts voters’ turnout
more accurately
SYSTEM 1
HOT
SYSTEM 2
COLD
MODERN
ECONOMY
has begun
CLASSICAL
ECONOMY
has ended
2002
Daniel Kahneman
Two operational
systems in the brain
CX/CI scientific background
- Dual Processing
Anthony Greenwald,
Washington University
The IAT as a measure of
implicit consumer attitudes [in:]
R. Ohme (Ed) Implicit Processes
in Cognition (2001)
Mahzarin Banaji,
Harvard University
Two factors moderate the
relationship between implicit
and explicit attitudes [in:] R.
Ohme (Ed) The nature of
automaticity (2002)
Anthony Greenwald and Mahzarin Banaji,
IAT authors have published their works in
books by Prof. Ohme, NEUROHM founder.
Russel H. Fazio
Ohio State University
Attitudes: Insights from
the new implicit
measures. New York:
Psychology Press.
(2009)
Harvard University hosts a digital
platform for the most recognized
RT tool in academic world – Implicit
Association Test (IAT) to measure
social sensitive issues, eg. racial
prejudice
- Attitude accessibility
Fazio & Williams (1986). Attitude accessibility as a moderator of
the attitude-perception and attitude-behavior relations: An
investigation of the 1984 presidential election. JPSP, 51, 505-
514. Fazio, Powell, Williams (1989) The Role of Attitude
Accessibility in the Attitude-to-Behavior Process. JCR, 16, 280-
288. Fazio, Roskos-Ewoldsen (2005). Acting as we feel: When
and how attitudes guide behavior. In Brock, Green (Eds.),
Persuasion: Psychological insights and perspectives (pp. 41-62).
neuron
activation
STM - „neural loop” activation
LTM – structural changes due
to the prolonged activation
memory trace
consolidation
WHAT FIRES TOGETHER, WIRES TOGETHER
Donald Hebb (1949)
- Consolidation of the memory trace
10
CX/CI EMOTIONS
selected examples
11
eco, family,
prestige, unique
CX/CI_WHAT YOU NEED IN A CAR
CX/CI Hyper Personalization
for family
prestigous
eco friendly
CAR
good mood
in a hurry
motivated
CLIENT
CX/CI Hyper Personalization
stres
discipline
knowledge
motivation
PATIENT
14
CX/CI_ LIPSTICK TO MAKE YOU FEEL GOOD
stand out, blend in,
be confident
15
adrenaline, chill-
out, rebel, rider
CX/CI_ A BIKE TO MAKE YOUR DAY
16
endurance app
crisis early detector
in dieting
CX/CI_ MOTIVATE TO NEVER GIVE UP
17
• With CX/CI we want to
capture a feedback free
from conformity, post-
conscious rationalization or
wishful thinking
• We want to ENGAGE
humans to better KNOW
themselves and to increase
SELF AWARENESS in the
digital and machine driven
near future
CX/CI
WHY we do it – CX/CI
18
kinga@digitalemotions.app
Thank you
KINGA ADRIANRAFAL

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The Benefits of Explicit/Implicit Hyper-Personalization (Rafal Ohme, Digital Emotions)

  • 2. X I X c e n t u r y age of steam & electricity X X c e n t u r y age of information X X I c e n t u r y age of personal information HYPER-PERSONALIZATION of products & services
  • 3. giving a voice NEW HABIT FEEDBACK n e w c u r r e n c y integration of O+X data INTELLIGENT ENTERPRISE
  • 4. CX FEEDBACK cognitive & social BIAS predicting behavior is not accurate SECURITY RIBBON a smart tech tool
  • 5. CX/CI • Confidence Index [CI] – How much do you hesitate? Confidence Index – a security ribbon’ in CX feedback • CX/CI is based on dual processing, consolidation of the memory trace and attitudes accessibility phenomena • The algorithms estimate how much you hesitate when you state your opinion. The more certain you are the more relevant something is for you or more likely it is you will do what you have promised • Research on CX/CI since 2004 • off-line; on-line; mobile
  • 6. 55.7%60.8% 55.3% REALCX 85.1%96.2% 84.9% Scottish Independence Referendum 2014 Polish Presidential Elections 2015 CX/CI 74.9%76% 74.6%French Presidential Elections 2017 6 CX/CI predicts voters’ turnout more accurately
  • 7. SYSTEM 1 HOT SYSTEM 2 COLD MODERN ECONOMY has begun CLASSICAL ECONOMY has ended 2002 Daniel Kahneman Two operational systems in the brain CX/CI scientific background - Dual Processing
  • 8. Anthony Greenwald, Washington University The IAT as a measure of implicit consumer attitudes [in:] R. Ohme (Ed) Implicit Processes in Cognition (2001) Mahzarin Banaji, Harvard University Two factors moderate the relationship between implicit and explicit attitudes [in:] R. Ohme (Ed) The nature of automaticity (2002) Anthony Greenwald and Mahzarin Banaji, IAT authors have published their works in books by Prof. Ohme, NEUROHM founder. Russel H. Fazio Ohio State University Attitudes: Insights from the new implicit measures. New York: Psychology Press. (2009) Harvard University hosts a digital platform for the most recognized RT tool in academic world – Implicit Association Test (IAT) to measure social sensitive issues, eg. racial prejudice - Attitude accessibility Fazio & Williams (1986). Attitude accessibility as a moderator of the attitude-perception and attitude-behavior relations: An investigation of the 1984 presidential election. JPSP, 51, 505- 514. Fazio, Powell, Williams (1989) The Role of Attitude Accessibility in the Attitude-to-Behavior Process. JCR, 16, 280- 288. Fazio, Roskos-Ewoldsen (2005). Acting as we feel: When and how attitudes guide behavior. In Brock, Green (Eds.), Persuasion: Psychological insights and perspectives (pp. 41-62).
  • 9. neuron activation STM - „neural loop” activation LTM – structural changes due to the prolonged activation memory trace consolidation WHAT FIRES TOGETHER, WIRES TOGETHER Donald Hebb (1949) - Consolidation of the memory trace
  • 12. CX/CI Hyper Personalization for family prestigous eco friendly CAR good mood in a hurry motivated CLIENT
  • 14. 14 CX/CI_ LIPSTICK TO MAKE YOU FEEL GOOD stand out, blend in, be confident
  • 15. 15 adrenaline, chill- out, rebel, rider CX/CI_ A BIKE TO MAKE YOUR DAY
  • 16. 16 endurance app crisis early detector in dieting CX/CI_ MOTIVATE TO NEVER GIVE UP
  • 17. 17 • With CX/CI we want to capture a feedback free from conformity, post- conscious rationalization or wishful thinking • We want to ENGAGE humans to better KNOW themselves and to increase SELF AWARENESS in the digital and machine driven near future CX/CI WHY we do it – CX/CI