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HON3YEMOTIONAL RESEARCH PLATFORM (beta)
powered by emozia
H O N 3 Y
start
034|
participant number
MAP 

THE
EMOTIONAL
JOURNEY
HON3Y is a mobile-based research
platform at the intersection of
emotional, contextual, and
behavioral data.
Participants experience the platform as any life-
logging app, tagging and/or inputing behaviors as
part of the research study.
Researchers access an intimate view into the
relationship between emotion states such as
stress and happiness and consumer behaviors
such as visiting a store or buying a specific
product.
H O N 3 Y
Tuesday, February 17
11:05:36 AM
19 17 31
DAYS
ACTIVE
LOGS
DAYS
REMAINING
scan barcode
tag action
// MAKE EMOTION VISIBLE
What are the emotions that prevail before, during, and after key moments of behavior?
// UNDERSTAND CONTEXT
How other drivers like weather, transportation, physical activity, or sleep, play a role?
PLATFORM GOALS:
The Trend Behind the Platform
MOOD GEISTING
Technologies that read emotion for
management, visualization and manipulation.
a. Moodcasting
b. Customization
c. Choice
d. Visualization
EMOTIVE RECOGNITION
TECHNOLOGY (ERT)
The Tech Behind the Platform
(The ERT landscape is evolving fast)
FACIAL
RECOGNITION
VOICE
RECOGNITION
CONTEXTUAL +
BEHAVIORAL DATA
Single point in time. Single point in time. Always on.
CONTEXTUAL + BEHAVIORAL DATA VIA
EMOTION RECOGNITION TECHNOLOGY
Always on.
Includes multiple sources of “always on” data, can also
include facial and voice recognition.
Used to understand mood changes continuously over time
and/or around specific event.
HON3Y is powered by emozia’s new “always on”
method to map human emotion, context and
behavioral patterns over time.
The platform exists at the intersection of
emotive recognition technology and self-
reported or passive behavioral data (e.g.
visiting a store, drinking coffee, etc.).
Example: Coffee Pilot Study // Participants tag all coffee
consumption over 90 days, the platform analyzes emotion states,
activity, and contextual data prior and after consumption.
THE 

ENERGY DRINK
PILOT
STUDY
THE ENERGY DRINK PILOT STUDY
Emotive States:
- Energy (Physical + Mental)
- Stress
- Happiness
Research Behaviors:
- Purchase and consumption of any energy drink
- Manual tag or barcode scan
Contextual Data:
- Weather
- Location (Home vs. Work)
- Transportation (Walk vs. Drive)
Pilot Design:
- 25 Participants
- 90 Days
H O N 3 Y
start
034|
participant number
0.75%
0.76%
0.77%
0.78%
0.79%
0.8%
0.81%
0.82%
+% 2%4% +%1% 2% +%6% 0% +%6% +% 1%2% +%2%4%
Average%energy%emo8ve%data%around%consump8on,%%%%%%%%%%+/+24hours%
Energy% Consump8on%
Energy levels of a research participant
over a 24-hour period: 12 hours prior
and after coffee consumption.
This chart shows data for
one participant in the pilot
study. We can see how the
“energy” levels resulting
from ERT’s algorithm match
the expected boost after
consuming coffee.
Source: HON3Y pilot study, 2014
0.7$
0.71$
0.72$
0.73$
0.74$
0.75$
0.76$
0.77$
0.78$
,$ 2$4$ ,$1$ 2$ ,$6$ 0$ +$6$ +$ 1$2$ +$2$4$
Average$emo6ve$data$around$consump6on,$$$$$$$$$$,/+24hours$
Stress$ Consump6on$
0.71%
0.72%
0.73%
0.74%
0.75%
0.76%
0.77%
+% 6% +% 3% 0%
Average%emo4ve%data%around%consump4on,%%%%%%%%%%%%+/+3hours!
Stress%
Consump4on%
We can zoom-in in time and
look at any period of time
prior and after the set
behavior (in this case
logging a cup of coffee).
These charts show “stress”
levels before and after
coffee consumption for
another random participant
in the pilot study.
Source: HON3Y pilot study, 2014
The decision tree establishes the main
drivers of the action or behavior in question.
This report is part of the standard reporting
suite.
In this case we are looking at emotive and
contextual factors influencing energy drink
consumption in order of importance.
Source: HON3Y pilot study, 2014, all participants
0.5$
0.55$
0.6$
0.65$
0.7$
0.75$
0.8$
0.85$
0.9$
Avg$
Sun$levels$
At$Consump7on$ Total$
In addition to ERT data, the
platform is designed to also
consider contextual data like
weather patterns, sleep disruption,
physical activity, and others.
On average, our pilot participants
consumed an energy drink when it
was sunnier (~20%) than usual.
Source: HON3Y pilot study, 2014
CONTEXTUAL DATA EMOTIONAL DATA
Weather Energy
Sleep Happiness
Physical Activity Stress
Location Fatigue
STANDARD DATA SETS
APPLICATIONS
RETAIL VISIT PRODUCT CONSUMPTION PHYSICAL ACTIVITY
HEALTH BEHAVIORS NUTRITION RX ADHERENCE
TRANSPORTATION ENTERTAINMENT SERVICE USAGE
WIDE RANGE OF APPLICATIONS
SET-UP LENGTH OF STUDY,
RECRUIT PARTICIPANTS
PARTICIPANTS RECEIVE
INSTRUCTIONS TO ACCESS THE APP
RESEARCHERS RECEIVE
AGGREGATED DATA
STANDARD RESEARCH STUDY SET-UP
Research Design Tech Set-Up Deployment Field Final Report
Goals
ERT Data Design
Contextual Data Design
Behavior Identification
Sample Size
Recruiting (client owns)
Invitation
Follow-ups
Behavior tracking
mechanism set-up:
- Barcode scan
- Geofence
- Self-reported
App store set-up
Invitation deployment
Calibration report (2W)
Pulse report (45D)
Data Analysis
Standard Report
Presentation
3 DAYS 7 DAYS 3 DAYS 90 DAYS 2 WEEKS
H O N 3 Y
start
034|
participant number
H O N 3 Y
Tuesday, February 17
11:07:12 AM
19 18 31
DAYS
ACTIVE
LOGS
DAYS
REMAINING
Participant logs in using
her unique code
Home shows activity log
and logging options*
User taps log area
Home screen shows
updated log number
H O N 3 Y
Tuesday, February 17
11:05:36 AM
19 17 31
DAYS
ACTIVE
LOGS
DAYS
REMAINING
H O N 3 Y
Tuesday, February 17
11:05:36 AM
19 17 31
DAYS
ACTIVE
LOGS
DAYS
REMAINING
scan barcode
tag action
scan barcode
tag action
scan barcode
tag action
SIMPLE PARTICIPANT EXPERIENCE
*illustrative
powered by emozia
info@sparksandhoney.com

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HON3Y: Emotional Research Platform (beta)

  • 1. HON3YEMOTIONAL RESEARCH PLATFORM (beta) powered by emozia H O N 3 Y start 034| participant number
  • 2. MAP THE EMOTIONAL JOURNEY HON3Y is a mobile-based research platform at the intersection of emotional, contextual, and behavioral data.
  • 3. Participants experience the platform as any life- logging app, tagging and/or inputing behaviors as part of the research study. Researchers access an intimate view into the relationship between emotion states such as stress and happiness and consumer behaviors such as visiting a store or buying a specific product. H O N 3 Y Tuesday, February 17 11:05:36 AM 19 17 31 DAYS ACTIVE LOGS DAYS REMAINING scan barcode tag action
  • 4. // MAKE EMOTION VISIBLE What are the emotions that prevail before, during, and after key moments of behavior? // UNDERSTAND CONTEXT How other drivers like weather, transportation, physical activity, or sleep, play a role? PLATFORM GOALS:
  • 5. The Trend Behind the Platform MOOD GEISTING Technologies that read emotion for management, visualization and manipulation. a. Moodcasting b. Customization c. Choice d. Visualization
  • 6. EMOTIVE RECOGNITION TECHNOLOGY (ERT) The Tech Behind the Platform
  • 7. (The ERT landscape is evolving fast)
  • 8. FACIAL RECOGNITION VOICE RECOGNITION CONTEXTUAL + BEHAVIORAL DATA Single point in time. Single point in time. Always on.
  • 9. CONTEXTUAL + BEHAVIORAL DATA VIA EMOTION RECOGNITION TECHNOLOGY Always on. Includes multiple sources of “always on” data, can also include facial and voice recognition. Used to understand mood changes continuously over time and/or around specific event.
  • 10. HON3Y is powered by emozia’s new “always on” method to map human emotion, context and behavioral patterns over time. The platform exists at the intersection of emotive recognition technology and self- reported or passive behavioral data (e.g. visiting a store, drinking coffee, etc.). Example: Coffee Pilot Study // Participants tag all coffee consumption over 90 days, the platform analyzes emotion states, activity, and contextual data prior and after consumption.
  • 12. THE ENERGY DRINK PILOT STUDY Emotive States: - Energy (Physical + Mental) - Stress - Happiness Research Behaviors: - Purchase and consumption of any energy drink - Manual tag or barcode scan Contextual Data: - Weather - Location (Home vs. Work) - Transportation (Walk vs. Drive) Pilot Design: - 25 Participants - 90 Days H O N 3 Y start 034| participant number
  • 13. 0.75% 0.76% 0.77% 0.78% 0.79% 0.8% 0.81% 0.82% +% 2%4% +%1% 2% +%6% 0% +%6% +% 1%2% +%2%4% Average%energy%emo8ve%data%around%consump8on,%%%%%%%%%%+/+24hours% Energy% Consump8on% Energy levels of a research participant over a 24-hour period: 12 hours prior and after coffee consumption. This chart shows data for one participant in the pilot study. We can see how the “energy” levels resulting from ERT’s algorithm match the expected boost after consuming coffee. Source: HON3Y pilot study, 2014
  • 14. 0.7$ 0.71$ 0.72$ 0.73$ 0.74$ 0.75$ 0.76$ 0.77$ 0.78$ ,$ 2$4$ ,$1$ 2$ ,$6$ 0$ +$6$ +$ 1$2$ +$2$4$ Average$emo6ve$data$around$consump6on,$$$$$$$$$$,/+24hours$ Stress$ Consump6on$ 0.71% 0.72% 0.73% 0.74% 0.75% 0.76% 0.77% +% 6% +% 3% 0% Average%emo4ve%data%around%consump4on,%%%%%%%%%%%%+/+3hours! Stress% Consump4on% We can zoom-in in time and look at any period of time prior and after the set behavior (in this case logging a cup of coffee). These charts show “stress” levels before and after coffee consumption for another random participant in the pilot study. Source: HON3Y pilot study, 2014
  • 15. The decision tree establishes the main drivers of the action or behavior in question. This report is part of the standard reporting suite. In this case we are looking at emotive and contextual factors influencing energy drink consumption in order of importance. Source: HON3Y pilot study, 2014, all participants
  • 16. 0.5$ 0.55$ 0.6$ 0.65$ 0.7$ 0.75$ 0.8$ 0.85$ 0.9$ Avg$ Sun$levels$ At$Consump7on$ Total$ In addition to ERT data, the platform is designed to also consider contextual data like weather patterns, sleep disruption, physical activity, and others. On average, our pilot participants consumed an energy drink when it was sunnier (~20%) than usual. Source: HON3Y pilot study, 2014
  • 17. CONTEXTUAL DATA EMOTIONAL DATA Weather Energy Sleep Happiness Physical Activity Stress Location Fatigue STANDARD DATA SETS
  • 19. RETAIL VISIT PRODUCT CONSUMPTION PHYSICAL ACTIVITY HEALTH BEHAVIORS NUTRITION RX ADHERENCE TRANSPORTATION ENTERTAINMENT SERVICE USAGE WIDE RANGE OF APPLICATIONS
  • 20. SET-UP LENGTH OF STUDY, RECRUIT PARTICIPANTS PARTICIPANTS RECEIVE INSTRUCTIONS TO ACCESS THE APP RESEARCHERS RECEIVE AGGREGATED DATA STANDARD RESEARCH STUDY SET-UP
  • 21. Research Design Tech Set-Up Deployment Field Final Report Goals ERT Data Design Contextual Data Design Behavior Identification Sample Size Recruiting (client owns) Invitation Follow-ups Behavior tracking mechanism set-up: - Barcode scan - Geofence - Self-reported App store set-up Invitation deployment Calibration report (2W) Pulse report (45D) Data Analysis Standard Report Presentation 3 DAYS 7 DAYS 3 DAYS 90 DAYS 2 WEEKS
  • 22. H O N 3 Y start 034| participant number H O N 3 Y Tuesday, February 17 11:07:12 AM 19 18 31 DAYS ACTIVE LOGS DAYS REMAINING Participant logs in using her unique code Home shows activity log and logging options* User taps log area Home screen shows updated log number H O N 3 Y Tuesday, February 17 11:05:36 AM 19 17 31 DAYS ACTIVE LOGS DAYS REMAINING H O N 3 Y Tuesday, February 17 11:05:36 AM 19 17 31 DAYS ACTIVE LOGS DAYS REMAINING scan barcode tag action scan barcode tag action scan barcode tag action SIMPLE PARTICIPANT EXPERIENCE *illustrative