Nowadays, about 52% of people around the globe are using AI-enabled technology. But even the most advanced AI systems lack crucial elements like emotional intelligence and the ability to interpret information as humans do. This is the primary reason AI isn’t yet successful in transforming a significant part of our lives and careers. So, incorporating emotions, empathy, and ethical values into AI will be the next goal the tech-savvy people want to achieve, and a lot of work is being done in the process. In the 2020 time frame, Artificial Emotional Intelligence is believed to be a real-world reality.

What is Emotional AI?

As simple as it may sound, Emotional AI is the ability to discern feelings as well as the ability to control and distinguish different emotions and act as a guide for our thinking process and behavior. In other words, Artificial emotional intelligence is a mix of artificial and emotional intelligence. It is the fundamental element that makes us human. Soon we will see the growth of AI solutions that incorporate emotional intelligence as the most critical factor in its popularity and value.

How will the INTEGRATION OF EI with AI HELP?

AI is used in many aspects of our lives and has made our lives more efficient and manageable. Robots and machines are employed in the production and manufacturing departments in several manufacturing businesses. Additionally, AI is changing the game in aviation marketing, education, heavy equipment industries, finance media, medicine, and customer service.

Customers’ needs are constantly changing, and technology is left with no choice other than to advance. Integration of EI with AI is highly beneficial in improving customer service and enabling sales departments with exceptional insights. Chatbots and mobile applications can recognize and react to the emotional reactions of people, including anger and frustration, which improves customer satisfaction. Artificial emotional intelligence can also be utilized to increase productivity in medical workplaces, like assisting nurses and doctors in providing services and customizing the learning experience for students. Making interactions more interactive and social Artificial emotional intelligence systems will interact with humans similarly to how humans operate.

The idea of emotional artificial intelligence (also known as ’emotion AI’) brings the images of humanoid robots playing customer service positions like the lifelike receptionist welcoming guests to the reception desk of a Tokyo hotel. Some businesses have added emotional recognition capabilities to their online assistant so that the users can experience more human-like interactions.

" In 2022 the 10% of personal devices will be equipped with AI-based capabilities for emotions."

The tech giants and smaller startups have invested in AI for emotion for over a decade making use of computers or voices to identify human emotions. A lot of these companies began with the goal of conducting market research, studying and recording human emotions in response to a brand or commercial on TV. Commercial applications are beginning to emerge into Virtual Personal Assistants (VPAs) as well as cars, call centers robots and smart devices.
Gartner forecasts that, in 2022, 10 percent of personal devices will feature the ability to use AI for emotion that is available on devices or through cloud-based services, which is up from less than 1% in 2018.
"We will continue to discover numerous new and exciting applications of emotion AI technology throughout the next calendar year," Zimmermann says. "However, smaller companies will have to concentrate the efforts on a smaller amount of industries and applications rather than trying to be everything for all."

The use of new technologies is rapidly changing.

In the last two years, emotional AI vendors have branched out into entirely new fields and industries that have helped companies improve customer service and achieve significant savings in costs. This includes:

  • Video Games. Computer vision is used to help the video game or game console detect emotions through facial expressions while playing the game.
  • Medical diagnosis. The software can aid doctors with diagnosing illnesses like dementia and depression through the "analysis of voice."
  • Education. Prototypes of learning software have been designed to adjust to the children’s moods. If the child exhibits frustration because the task is too challenging or easy, it alters the task to make it less or more difficult. Another method of learning assists autistic children in recognizing the emotions of others.
  • Safety of employees. Based on Gartner clients’ inquiries, demands for safety solutions for employees are increasing. Emotion AI can assist in analyzing the anxiety and stress levels of employees with high-stress jobs.
  • Care for patients. The medical bot doesn’t just remind elderly patients who are on long-term medical programs to be on their medications but also communicates with them daily to assess the patient’s daily diagnosis.
  • Safety while driving. Automotive manufacturers can employ the computer vision system to track the emotional state of drivers. A state of extreme emotion or sleepiness could result in an alert to the driver.
  • Autonomous vehicle. In the near future, the interior of autonomous vehicles will be equipped with a variety of sensors, like microphones and cameras, which will observe what’s happening and determine how drivers perceive the experience of driving.
  • Fraud detection. Insurance companies employ audio analysis to identify if an individual customer is honest when they make claims. According to surveys conducted by independent organizations, up to 30% of claimants have admitted lying to their insurance provider to get insurance coverage.
  • Recruiting. Software is employed in job interviews to assess the authenticity of a candidate.
  • Intelligent call center routing. An unhappy customer can be identified right at the start and be directed to a properly trained agent, who will also be able to observe in real-time how the conversation is progressing and make adjustments.

However, obstacles for adoption are. A recent Gartner consumer survey found that there remain many concerns about the trustworthiness of emotional AI which means that users do not feel comfortable using emotional AI through camera capture as opposed to voice analysis.

The future of Emotional AI

Over five years, AI intelligence is predicted to expand to become a multibillion-dollar business and completely alter the market research industry and innovation, research and development, and so much more. To tap the human-like nature inherent in AI, Amazon, Microsoft, and Google are engaged in hiring writers and comedians to inject their product’s character and emotional aspects. The roadmap for the future of AI will see businesses utilizing emotional analytics to make their decisions.

The hype surrounding AI is real. Companies that can successfully integrate the concept of empathy and contextual understanding into their products will soon be the top contenders in the race for technological advancement. However, they must be mindful of the personal and social consequences of this massive shift.