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(1)

CREATING

EMOTIONAL

EXPERIENCES

THAT

ENGAGE,

INSPIRE, &

CONVERT

Presented by

Tim Llewellynn

(CEO & Co-founder)

(2)

Agenda

Agenda and About nViso

Primer on Emotions and Decision Making

Measuring Emotions on the IBM SmartCloud

Case Study - Interactive Marketing

(3)

About nViso

11/03/13 Copyright nViso SA 2013. All rights reserved.

Software and Technology Startup

(based in Switzerland, founded in 2009)

Spin-out from EPFL

(key academic partners in neuroscience)

Best-in-class Facial Imaging Technology

(owns and develops all properiatary algorithms)
(4)

Emotions Role in Decision Making

Conscious

Associative

Non

Conscious

Fast

Intuitive

Instinctive

Below the Surface

Slow

Analytical

Deliberative

(5)

“Thinking is the

hardest work there is,

which is probably the

reason why so few

engage in it.”

(6)

In IT Terms : Thinking is Slow

11‘000‘000 bits / s

(7)

Emotion in the Next-Generation HCI

Swiss The National Centre of Competence in Research (NCCR)

“IM2 – Interactive Multimodal Information Management”

researches interaction between humans and computers.

35Million

CHF

invested over last 10 years.

www.im2.ch

Face

Speech

Head

Gesture

Touch

Body Pose

E

MOT

ION

(8)

The Facial Nerve : The Link to the Brain

Difficult to measure areas :

– Emotion (amygdala)

– Long Term Memory (hippocampus)

What can be measured :

– Facial expressions

– Involuntary micro-expressions

– Head and eye movements

– Blood flow (heart rate)

(9)

From Great Artists to Scientists

(10)

Facial Coding : Ekman

happiness

surprise

fear

anger

disgust

sadness

Universal expressions of emotion

Facial Action Coding System

(11)

nViso 3D Facial Imaging Software

11/03/13 Copyright nViso SA 2013. All rights reserved.

Artificial intelligence

precisely detects facial muscles

Facial muscles movements

encoded based on FACS

Machine learning system

decodes facial behavior

Software maps 143

points in the

image directly to

facial muscles

(12)

Mix of Emotions

(Heineken : Walk in Fridge)

Course of time

0% 50% 100% 150% 200% 250% 300% 1 s ec 2 s ec 3 s ec 4 s ec 5 s ec 6 s ec 7 s ec 8 s ec 9 s ec 10 sec 11 sec 12 sec 13 sec 14 sec 15 sec 16 sec 17 sec 18 sec 19 sec 20 sec 21 sec 22 sec 23 sec 24 sec 25 sec 26 sec 27 sec 28 sec 29 sec 30 sec 31 sec 32 sec % C ha ng e o f E m ot ion

Was Drop Expected?

(channel switching)

10

Brand Impact

(measure of brand)

30

Peak Expected?

(branding moment)
(13)

Measures Reaction To Marketing

Videos

Concepts

Images

Designs

Smell

Real-time analysis

Second-by-second

7 emotion measures

Summary measures

(14)

The Face as a Sensor

Emotion

Attention

Gestures

Behaviours

Ap

plic

at

io

n An

aly

tic

s

3D Face Model

Identity

(15)

Emotion Analytics on the Cloud

(16)

nViso as a Developer Platform

CO

NS

UM

E

R

BU

SI

N

ESS

(17)

Develop Emotion Apps

developer.nviso.net

(18)

Case Study I :

Interactive Marketing

Cinemax

(19)

Hunted's 'Byzantium Tests'

11/03/13 Copyright nViso SA 2013. All rights reserved.

(20)
(21)

Case Study III :

Virals Ads

Measuring Drivers of Successful Viral Ad

Campaigns

(22)

Virals Ads – Why do we care?

Do viral ads yield actual business results?

Are emotional ads more effective than

cognitive ads?

Most recent work :

Wharton University of

Pennsylvania Study 2011 : Professor

YORAM

(23)

Example

(24)
(25)

Selection of the Ads

(26)

Analysis of Content Categories

Superbowl

Call to action

Cause

Co-creation

Mascot

Creative

Children

Animals

Celebrities

Humor

Cute

Sex

Rational appeal

Emotional appeal

Facebook Likes

Twitter Followers

(27)

Regression

Only 4 variables significant

Creative

Surprise

Cute

Emotional

These results in 60 out of the 73 (82%) viral to be above

the “best” cutoff and 52 out of 73 (71%) non-viral

11/03/13 Copyright nViso SA 2013. All rights reserved.

(28)
(29)

Implications

Passive measurement of key drivers of Viral Ads

– Overcomes issues of “rationalised” response

– Keeps surveys relevant in rich media age

– Makes emotional measurement scalable,

measurable and ultimately – much

more

predictive

Improve targeting and content selection

– Understand key segments reacting

– Understand scenes driving reaction

www.im2.ch

References

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