What Is Emotion AI? Explained By 10 Great Industry Experts

What Is Emotion AI? Explained by 10 Great Industry Expert(s)

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by Alan Jackson — 1 month ago in Artificial Intelligence 3 min. read
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This is not the first time that ‘The Next Tech’ community has shared their opinion on the Artificial Intelligence paradigm.

We’ve covered an array of topics on this technology, and some popular ones are:

And today, we’ve picked Emotion AI known as Artificial Emotional Intelligence.

We’ve covered the industry leaders’ thoughts about what they are saying about this new, catastrophic subject.

But, before we delve into the core of information. Let me ask you one question!

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Why does Emotion AI matter?

Is it because everyone is taking it as a critical principle or it’s something else?

Emotion AI

Also, the future is Emotion AI.

Currently, there are few selective advertising firms, mental health, and call centers that are using the principle of Emotion AI applications in their cases and functions.

Wearable gadgets or intelligent wearable devices like Apple Watch monitor a person’s heartbeat to tell whether they are experiencing something like stress, pain, or frustration.

This is a proggressive example of this field.

However, the application of emotion AI is not limited to devices, in the future, it will be a paradox.


So, What’s “Emotion AI” All About?

If we break the term, ‘Emotion’ represents varying sentiments of human beings (sad, happy, angry, joy, and contempt) whereas ‘Artificial Intelligence’ represents an intelligent technology that processes and deciphers the elements of emotional states of humans.

This technology is also referred to as Affective Computing or Artificial Emotional Intelligence, and it’s the new branch of the AI paradigm.

Since this is the new area of AI, many industry leaders have expressed their testimony and words.

Let’s read what they say!

1. Course5i.com

Emotional AI being a new-fragile area of AI legacy interprets non-verbal cues of humans like body language, facial expressions, gestures, and tonality of voice to detect their emotional state.


2. MIT Sloan

It is a subset of Artificial Intelligence that intelligently replicates the way humans think, majorly understand, react, and simulate human emotions.

3. Forbes

A leading ranked list maker posits that emotions are a fundamental part of humans, additionally, a source of manipulating decisions either for good or bad results. The use of affective computing technology in business prominently will change the philosophy of machine capabilities.


4. Gartner

Gartner’s leaders say that Emotion AI will personalize interactions. The technology is quite manifest to create more personalized user experiences. The technology marvels at interpreting customers’ emotions. For instance; a smart fridge that interprets how you feel.

5. Think Automation

Think Automation illustrates emotion AI as an AI program that can detect and respond to the way you are feeling. It is just another name for sentiment analysis.


6. Search Engine Journal

SEJ has also expressed its slant on Emotional AI by saying that Artificial emotional intelligence computing technology can help business and media ventures improve their advertising and marketing messages.

7. TechTalks

Human emotions exist on a spectrum. There are more than half of the hundred emotions expressed by humans. Using AI in this context, helping engineers to program systems that could understand human sentiments convalescent will help adequately to solve issues complex with human sentiments.


8. Uniphore

The new field of AI can recognize emotion. Emotions that drive human interactions and decisions. The ability includes high EQ communication more effectively, better-resolving disagreements, and forging deeper relationships.

9. Dmexco

The community observed this new AI application as a human-machine communication 2.0 also known as affective computing which represents detecting emotions using artificial intelligence.


10. HBR

Well, the community speaks about the risks of using AI to interpret human emotions. However, the technology is well accepted but prone to bias.

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Conclusion

Emotion AI or emotional AI or Artificial Emotional Intelligence setting a fire in various verticals. The capabilities of affective computing are strong but have biases that allude to effective results.

However, the implication has already been made by many verticals. Superiorly, emotional AI helps digital marketers and researchers understand better human sentiments, facilitate decision making, and in many other functions.

Let us know what you think about this new area of AI technology.


Alan Jackson

Alan is content editor manager of The Next Tech. He loves to share his technology knowledge with write blog and article. Besides this, He is fond of reading books, writing short stories, EDM music and football lover.

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