Artificial emotional intelligence uses computer vision, sensors, and deep learning to analyze facial expressions, speech, gestures and other data to identify human emotions. As the field continues to mature, companies are using it to provide better customer service, help advertisers optimize content, and develop technologies to assist those with autism or monitor mental health. By 2025, the global market for affective computing technologies is predicted to reach $174 billion.

1. What Is Artificial
Emotional Intelligence?

2. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
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IntroductionIntroduction
Humans have always been able to claim mastery above machines when it comes to
understanding emotion. But that won't be the case for long. While some may doubt that
machines will encroach on emotion, those working in the field of artificial emotional
intelligence, also known as emotion AI or affective computing, say we're well on our way,
and by 2025, the global affective computing market will reach $174 billion.
What Is Artificial Emotional Intelligence?

3. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
What is artificial emotional intelligence?
When computers can read emotions by analyzing data, including facial expressions,
gestures, tone of voice, force of keystrokes, and more to determine a person's emotional
state and then react to it, we call this artificial emotional intelligence. This ability will allow
humans and machines to interact in a much more natural way and very similar to how
human-to-human interaction works.
Affective computing began in 1995 in an MIT Media Lab when cameras, microphones, and
physiological sensors gathered affective responses to identify emotion, and then machines
responded to those emotions. This early work led to lab professor Rosalind Picard
publishing "Affective Computing.” Today, a machine’s adeptness at evaluating data can
help it pick up on subtle emotive nuances that some humans would miss.

4. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
How does artificial emotional
intelligence work?
Through a combination of computer vision, sensors and cameras, tons of real-world data,
speech science, and deep learning algorithms, artificial emotional intelligence systems
gather data, and then process and compare it against other data points that identify key
emotions such as fear and joy. Once the appropriate emotion is identified, the machine
interprets the emotion and what it might mean in each case. As the emotion database
grows, the algorithms get better at identifying the nuances of human communication.

5. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
How is artificial emotional intelligence used
today?
As the field continues to mature, many companies are actively using it to provide better
service and products. Here are a few examples:
Affectiva, an emotion recognition software company, helps advertisers and video
marketers gather moment-to-moment facial expressions when watching a video with its
product Affdex for Market Research. This data is compared to the company's emotion
database, and benchmarks for sales lift, brand recall, and more to give its customers such
as Kellogg's and CBS ideas to optimize their content and media spend. The company is
also helping the automotive industry figure out ways to use artificial emotional
intelligence to transform the transportation experience, including road safety and
passenger experience. This includes advanced driver state monitoring solutions to identify
an impaired or tired driver as well as be a system for autonomous vehicles.

6. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
How is artificial emotional intelligence used
today?
Another company supporting marketers with artificial emotional intelligence solutions for
market research is Realeyes. They use webcams, computer vision, and artificial intelligence
to analyze viewer’s facial expressions when watching videos. Realeyes is capable of giving
critical feedback regarding the effectiveness of the creative used in ad campaigns that
helps companies such as Coca-Cola and Hershey’s be more effective with their marketing.
Microsoft has a team that’s dedicated to developing new technologies that promote
emotional resilience and well-being and will use artificial emotional intelligence to sense
and respond to emotional states. The HUE (human understanding and empathy) team is
challenged with bringing artificial emotional intelligence to Microsoft products, specifically
in the areas of empathetic search, human understanding in gaming, and adaptive
workspaces.

7. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
How is artificial emotional intelligence used
today?
If you’ve ever been routed through a company’s customer service call center to resolve an
issue and found your frustration level rising with each transfer, you will appreciate Cogito’s
artificial emotional intelligence solution to improve the experience. It helps identify the
caller’s mood and adjusts how agents handle the call in real-time.
Artificial emotional intelligence technology can be useful to identify mental health
concerns. CompanionMx offers a mental health monitoring app that can identify signs of
mood changes and anxiety when someone speaks into their phones. The MIT Media Lab
created a wearable device called BioEssence that senses changes in heart beat to identify
pain, stress, and frustration and then releases a scent to help the person through that
emotional state.
Emotion AI can even be a form of assistive technology for people with autism who often
struggle to pick up on the emotional cues of others when communicating. A wearable
device could help those with autism “read” emotions of others and then respond
appropriately to the other person.

8. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
How is artificial emotional intelligence used
today?
Like with so many other artificial intelligence applications, developers must be mindful
that the data sets the tech are trained on represent the diversity of our global community
in order to be useful to all. This will hopefully happen as with the wider-spread adoption
of these applications.
Artificial emotional intelligence is definitely a fascinating and promising field. I will be
watching very closely over the coming years.

9. © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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