The slides provide a quick overview of the Affective Computing trend. The slides provide summary information, a list of trends to watch and links to additional resources

1. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Affective Computing
IBM HorizonWatch 2016 Trend Brief – External Version
Bill Chamberlin, Principal Client Research Analyst / IBM HorizonWatch Community Leader
May 12, 2016

2. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
About This HorizonWatch Emerging Trend Brief
2 Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016
 Purpose: The slides provide a quick overview of the Affective Computing trend. The
slides provide summary information, a list of trends to watch and links to additional
resources
 How To Use This Report: Use these slides as a learning document and a springboard
to further research and reading on this trend. You may want to view the slides in
slideshow mode so you can easily follow the links
 Available on Slideshare: The latest version of this file (and other HorizonWatch Trend
Reports for 2016) will be available publically on Slideshare at
http://www.slideshare.net/horizonwatching
 Please Note: This report is based on internal IBM analysis and is not meant to be a
statement of direction by IBM nor is IBM committing to any particular technology or
solution.

3. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Overview of the trend towards Affective Computing technologies
Affective computing is an emerging technology that can be classified within both Human-
Computer Interaction and Artificial Intelligence/Cognitive Computing technologies.
Affective Computing is enabled when a computing device has the ability to detect and
appropriately respond to its user's emotions and other stimuli. Such a device that has
embedded affective computing capability could gather data relative to user emotion from
visual, textual, and auditory sources.
Recent Quotes about Affective Computing
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“There are several factors that trigger the growth of the affective computing market. Some of them
are rising demand for mapping human emotions especially by the marketing and advertising sector,
increasing concerns for security, and growing need for applications for support during emergency
situation.” MarketsandMarkets
“Emotion is fundamental to human experience, influencing cognition, perception, and everyday tasks
such as learning, communication, and even rational decision-making. However, technologists have
largely ignored emotion and created an often frustrating experience for people, in part because affect
has been misunderstood and hard to measure.” MIT Affective Computing Lab
Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016
“Emotion was the #1 factor in customer loyalty across 17 of the 18 industries that we studied this time
around.” Forrester: You Can't Afford to Overlook Your Customers' Emotional Experience

4. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Affective Computing – 5 trends to watch in 2016
1. A growth market. The Affective Computing market will
grow from $9.35B in 2015 to $42.51B by 2020 (a 35.4%
CAGR) MarketsandMarkets
2. Potential Applications: Early examples include market
research, advertising, collaboration apps, and mental
health research. In the future almost all cognitive
computing applications will have an embedded capability
to understand human emotions.
3. Research still needed Detecting emotions from videos,
audio, text, facial expressions and gestures is a newly
emerging data science. The MIT Media Lab continues to
be a leading research facility.
4. Companies to Watch: Affectiva, Realeyes, Sension,
tACC, nVisio, CrowdEmotion, PointGraB, Omek
InteractivE, SoftKinetic, and Elliptic Labs are just some of
the startups experimenting with bringing solutions to
market.
5. Cognitive Computing Landscape: Expect that all AI-
related vendors will be looking to build or acquire
affective computing capability in 2016. Apple recently
bought Emotient. Intel, Microsoft, Alphabet and
Facebook are all working on elements of gesture, text,
speech and facial recognition technology.
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“Affective computing technologies sense the
emotional state of a user (via sensors,
microphone, cameras and/or software logic)
and respond by performing specific,
predefined product/service features, such as
changing a quiz or recommending a set of
videos to fit the mood of the learner.” Gartner
IBM Systems Magazine: IBM Explores How
Affective Computing Can Benefit Society
Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016
Forrester: Measure Emotions In Customer
Experiences To Improve Loyalty

5. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Affective Computing – Additional Resources (page 1 of 2)
 Association for the Advancement of Affective Computing: Emotion-
Research.net
 BPM: The Cognitive Computing Era: Affective Computing
 CNN Feeling glum, happy, aroused? New technology can detect
your mood
 Gartner: Affective Computing
 IBM: Watson Personality Insights Services / Affective Computing
 IBM Systems Magazine: IBM Explores How Affective Computing
Can Benefit Society
 Lux Capital: Affective Computing: The Power of Emotion Analytics
 Mashable: Apple buys AI startup that reads emotions in faces
 MIT News A Market for Emotions NMC Horizon Project: Affective
Computing
 National Science Foundation: Computational behavioral science
develops tools, methods to reach children with autism
 Oxford Library of Psychology: The Oxford Handbook of Affective
Computing
 Phys.org Does your computer know how you're feeling?
 Rosalind Picard (video) Reading Emotions Through Affective
Computing / Affective Computing: Engineering Emotion
5
Lux Capital: Affective Computing:
The Power of Emotion Analytics
“Computer-based facial
expression recognition mimics our
human coding skills quite
impressively as it captures raw,
unfiltered emotional responses
towards any type of emotionally
engaging content.” iMotions Facial
Expression Analysis – The Definitive Guide
Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016
“We have very real data points
showing computers doing a better
job than humans in accessing
emotional states” Andrew Moore, the
dean of computer science at Carnegie Mellon
as reported in Wired

6. © 2016 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Affective Computing – Additional Resources(page 2 of 2)
 Slate How Does That Geometry Problem Make You Feel?
 Tech Crunch Emotient Raises $6M For Facial Expression
Recognition Tech, Debuts Google Glass Sentiment Analysis
App
 The Engineer Face up to emotion detection
 The New Stack: The Rise of Emotionally Intelligent Machines
That Know How You Feel
 The New York Times When Algorithms Grow Accustomed to
Your Face
 The New Yorker We Know How You Feel
 The Washington Post Feeling mad? New devices can sense
your mood and tell — or even text — others.
 Toyoaki Nishida, Kyoto University (paper) Cognitive and
Affective Computing
 VLAB: Affective Computing: The Power of Emotion Analytics
 William Chen (book) Affective Computing 28 Success Secrets
 Wikipedia Article: Affective Computing
 Wired How Sensors That Test Our Stress Could
Revolutionize Product Design
 ZDNet The keyboard of the future will know just how you feel
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VLAB: Affective Computing: The Power of
Emotion Analytics
“Now, computer software is using frame-by-
frame video analysis to read subtle muscular
changes that flash across our faces in
milliseconds, signaling emotions like
happiness, sadness and disgust.” NY Times
Affective Computing: HorizonWatch Emerging Trend Brief (External Version)12May2016
“In order for artificial intelligence to truly
interact with humans, the ability to empathize
needs to be mastered.” Nanalyze