Written on
December 4, 2019

Our Guide on Emotion AI & How it Impacts Different Industries – What to Know

Artificial Intelligence (AI) is steadily becoming an integral part of operations for various industries across the globe. The technology is designed to reduce human errors and simplify tasks, allowing companies to focus their human resources on other productive work.

Many accept it as an excellent tool for gathering substantial data and forecasting user behaviour. However, does it matter when AI catches up with the human characteristics of sensing feelings? That’s where emotion AI comes into play.

What is Emotion AI?

It’s well-established that AI offers the uncanny ability to recognize patterns, which enables it to streamline low-involvement tasks for analyzing user behaviour or the performance of business strategies. Now, AI technology is transforming further as businesses are seeing its potential to measure and respond to real human emotions.

This allows for more natural and effortless interaction between humans and machines, which can elevate user experience on a whole different scale. The way machine augments humans can improve data research even further as AI can finally take into emotion into consumer behaviour.

How Does Emotion Recognition Work?

Emotion AI relies on natural language, voice recording, and facial image inputs to detect the meaning behind facial expressions and speech patterns. It’s an excellent addition for enhancing the user experience as industries can leverage artificial empathy to evoke powerful emotions from their target audience. 

Which Industries are Using Emotion AI?

Some companies are already using emotion AI to put them ahead of the game. This includes leading vendors like Amazon, Google, IBM, and even Microsoft, as they utilize facial expression APIs to dig deeper behind consumer behaviour.

It’s a powerful tool that can unlock new possibilities for advertising as companies can now have a measurable insight into how emotion influences purchase decisions or the way consumers react to ads. Startups are not falling behind the race as rising names like Affectiva, Beyond Verbal, Kairos, Nuralogix, NVISO, and Sensum are using voice emotion detection to improve their market research.

What are the Applications of Emotion AI?

Decoding user emotions using a combination of facial analysis, voice pattern analysis, and deep learning can enhance different aspects of a business. By combining data-driven interactions with EQ-guided experiences, brands all over the world can create a comprehensive strategy that improves the communication between companies and their consumers. With that in mind, businesses can apply emotion AI to the following scenarios: Advertising and Marketing

●     Automotive

●     Content and Media

●     Customer Support

●     Education

●     Finance

●     Gaming

●     Healthcare Robots

●     Smart Devices

●     Market Research

●     Recruitment

●     Retail

●     Workplace

By integrating emotion AI, industries can create campaigns with better mindfulness and self-awareness to their users.

In Conclusion

The possibilities for emotion AI are limitless, but so far, its development plays a significant role in enriching the data-driven interaction of AI technology. In addition to emotional intelligence to the mix, companies can bridge the gap with their customers and establish deeper connections.

From improving marketing and advertising to enhancing the user experience for healthcare, emotion AI can benefit companies from various industries. In any case, advances in technology aim to help streamline your vision and assist consumers in different situations.