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Beyond Words: Use Biometrics to
Measure Emotion in User Research
Ariel Duncan, Andrew Schall, Robert Christopherson,
Ping Du, Jeffrey Wong
Intro
Why this panel?
4
Eye Tracking is critical for any
emotional analysis. Eye tracking
can tell us:
Time & Location
• Where they looked
• When they looked
Engagement Level
• How long they looked
• How frequently they looked
TELLS YOU WHAT BUT NOT
WHY
Eye Tracking
5
Brain Activity (EEG)
Electroencephalography is a
way to measure brain activity
with sensors on the head.
Brainwaves can be interpreted
to understand core emotions:
• Happiness/Sadness
• Excitement/Boredom
• Frustration/Relaxation
6
The sensor measures small changes in
user’s skin conductance (GSR). These
sweat gland changes are directly
related to the Sympathetic Nervous
System activation, also known as the
fight or flight response.
Skin Conductivity (GSR or EDA)
7
Facial expression recognition uses a simple
webcam and software to identify facial
expressions people display.
It can detect a wide range of emotions:
• Happiness
• Sadness
• Angry
• Frustration
• Confusion
Facial Analysis
Electromyography (EMG)
What can physiological data give
us that is new?
How does biometric data
complement qualitative data?
How can biometrics improve or
streamline the way we present
user data to clients and
stakeholders?
A Case Study
Booking flights
Case Study on Airline Websites
Hardware Used: Laptop + Tobii
X2-30 Eye Tracker + Webcam
Software Used: iMotions
Website B Website N Website S
Group 1 Participants Group 2 Participants Group 3 Participants
Case Study on Airline Websites
1 2 3 4
5
6
7
8
9
13
10
11 12
14
15 16
17 19 20
21
22
23
24
18
Case Study on Airline Websites
Website B Website N Website S
Flight Search Box
Metric for comparison: Number of occurrences of
frustration expressions
Do the flight search boxes of the three websites have
any differences in terms of their usability?
Flight
Search
Box
Flight
Search
Box
Broader Applications
Design solution 1 Design solution 2
Feature A Feature A
Compare different design solutions for a particular
function
Broader Applications
Evaluate an interface in high level
Identify trouble elements in an interface
Broader Applications
Monitor eye movements and facial expressions in
real time during usability tests to help researchers
identify pain points of users
Frustration
Confusion
Time
Time
Broader Applications
What are some up and coming
applications of biometric data?
What are limitations of biometric
data?What do we need to be
careful of?
What size enterprise can do this
type of research successfully?
Q & A
Wrap Up

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Beyond Words: Use Biometrics to Measure Emotion in User Research

  • 1. Beyond Words: Use Biometrics to Measure Emotion in User Research Ariel Duncan, Andrew Schall, Robert Christopherson, Ping Du, Jeffrey Wong
  • 4. 4 Eye Tracking is critical for any emotional analysis. Eye tracking can tell us: Time & Location • Where they looked • When they looked Engagement Level • How long they looked • How frequently they looked TELLS YOU WHAT BUT NOT WHY Eye Tracking
  • 5. 5 Brain Activity (EEG) Electroencephalography is a way to measure brain activity with sensors on the head. Brainwaves can be interpreted to understand core emotions: • Happiness/Sadness • Excitement/Boredom • Frustration/Relaxation
  • 6. 6 The sensor measures small changes in user’s skin conductance (GSR). These sweat gland changes are directly related to the Sympathetic Nervous System activation, also known as the fight or flight response. Skin Conductivity (GSR or EDA)
  • 7. 7 Facial expression recognition uses a simple webcam and software to identify facial expressions people display. It can detect a wide range of emotions: • Happiness • Sadness • Angry • Frustration • Confusion Facial Analysis
  • 9. What can physiological data give us that is new?
  • 10. How does biometric data complement qualitative data?
  • 11. How can biometrics improve or streamline the way we present user data to clients and stakeholders?
  • 13. Case Study on Airline Websites Hardware Used: Laptop + Tobii X2-30 Eye Tracker + Webcam Software Used: iMotions Website B Website N Website S Group 1 Participants Group 2 Participants Group 3 Participants
  • 14. Case Study on Airline Websites 1 2 3 4 5 6 7 8 9 13 10 11 12 14 15 16 17 19 20 21 22 23 24 18
  • 15. Case Study on Airline Websites Website B Website N Website S Flight Search Box Metric for comparison: Number of occurrences of frustration expressions Do the flight search boxes of the three websites have any differences in terms of their usability? Flight Search Box Flight Search Box
  • 16. Broader Applications Design solution 1 Design solution 2 Feature A Feature A Compare different design solutions for a particular function
  • 17. Broader Applications Evaluate an interface in high level
  • 18. Identify trouble elements in an interface Broader Applications
  • 19. Monitor eye movements and facial expressions in real time during usability tests to help researchers identify pain points of users Frustration Confusion Time Time Broader Applications
  • 20. What are some up and coming applications of biometric data?
  • 21. What are limitations of biometric data?What do we need to be careful of?
  • 22. What size enterprise can do this type of research successfully?
  • 23. Q & A