Emotional AI is where machines can analyze your emotions and behave accordingly.

Can you imagine machines having emotions? That's emotional AI. The future is not far where devices around you will understand your emotions and change their responses to match your behavior. Sounds like something that's straight out of a sci-fi movie, this is the latest technology in machine learning.

Emotional AI is used by machine developers to make the system capable of reading, interpreting, and responding to human behavior and even affect it, just like how we experience varied emotions every day. All this is to make machines interact with humans more naturally.

Bringing Intelligent Machines To Life With Emotions

Companies are seizing the emotional intelligence trend, leaving no stone unturned. This technology is helping them connect with their target audience for a meaningful purpose. Programmers are also looking for ways to incorporate emotional intelligence into virtual assistants, computer systems, and chatbots, being one of the largest used resources across e-commerce platforms and telemedicine practices.

Industries Using Emotional AI

As the world around us is becoming increasingly dependent on artificial intelligence, this advancement in AI technology is transforming industries.

Advertising – Analyzing what the customers want and how they react to an advertisement is the core of the industry. Emotional AI can help companies conduct research and accurately target the audience with influential ads.

Affective, an emotional AI company from Boston specializes in automotive AI and advertising research for several Fortune 500 companies. According to the co-founder Rana el Kaliouby, "Our technology captures these visceral, subconscious reactions, which we have found correlates very strongly with actual consumer behavior, like sharing the ad or actually buying the product."

Healthcare – Emotional AI is helping this industry with medical diagnosis and patient care. This technology can help doctors diagnose diseases like depression and dementia using voice analysis and emotional AI-equipped bots that can remind patients about their long-term medication schedules and also converse with them to know about their well-being.

Automobile – Professionals responsible for car safety can use computer vision technology powered by emotional AI to monitor the diver's emotional condition and give an alert when the driver is feeling drowsy or anxious. As autonomous vehicles are the future of automobiles, manufacturers are prepping to include sensors, cameras, and microphones that can monitor what is happening in the car and understand the overall driving experience.

Retail industry – Retailers can use emotional AI-powered computer vision technology in stores to analyze demographic information and mood reactions.

Public service – Surveillance camera providers are partnering with emotional AI technology vendors to make cameras that can detect people's facial expressions and understand the mood of the population. At present, this is being done by the United Arab Emirates Ministry Of Happiness.

Call centers – Call center customers have to deal with a lot of angry customers. With this technology, professionals can detect an angry customer during the initial phase of the call who then can be re-routed to a well-trained agent.

Education – Learning software prototypes inbuilt with this technology can adapt to kid's emotions to make the course a pleasant and not challenging experience. When a child is showing frustration, the program will adapt to the child's learning speed.

Emotional AI will be a big aid to a business that revolves around customer experience. Like any other technology, there will be speculation around the threat it poses towards human jobs and privacy, but currently, the benefits outweigh the doubts. The future is not humans vs machines, it's a human-machine augmentation and emotional AI that will help that connect become stronger.