There’s no doubt that artificial intelligence has come a long way in the past few years.
But one area that has seen particularly impressive advancements is emotion AI. This technology allows machines to interpret and respond to human emotions, which is changing the way we interact with them.
In this blog post, we’ll take a closer look at how Emotion AI is changing the landscape for humans and machines!
What is Emotion AI?
Emotion AI, also known as affective computing, is a branch of artificial intelligence that deals with the interpretation and understanding of human emotions.
This technology can be used in a number of ways, from helping businesses to understand customer sentiment to providing personalised recommendations based on how you’re feeling.
One of the most well-known examples of emotion AI in action is Microsoft’s Emotion API. This tool allows developers to incorporate emotion recognition into their applications.
The Emotion API can detect a range of emotions, including happiness, sadness, anger, fear, and surprise. It does this by analysing the facial expressions of users through a webcam or photo.
How Emotion AI is Changing the Way We Interact with Machines
So how exactly is emotion AI changing the way we interact with machines?
Personalised Approach In Customer Service
For one, it’s making them more personal. By understanding our emotions, machines can respond in a way that feels more natural and human-like.
This is particularly important in customer service and support, where emotions can play a big role in the customer experience.
In the past, dealing with a difficult customer service issue could often be a frustrating experience. But with emotion AI, businesses can now take a more personalised and human-centred approach to customer service.
Offer Better User Experience
Another way that emotion AI is changing the way we interact with machines is by making them more human.
This may seem like a strange concept, but as machine learning and artificial intelligence become more advanced, it’s becoming increasingly important for machines to be able to understand and respond to human emotions.
By making machines more human, we can create a better and more natural user experience.
This is especially important in fields like healthcare, where empathy and emotional understanding are essential.
One example of this is the chatbot Ellie, which was developed by researchers at the University of Southern California. This chatbot is designed to provide emotional support to people who are dealing with a mental health issue.
Ellie is able to understand the emotions of the people she chats with and respond in a way that is supportive and helpful. So far, Ellie has been used by over 100,000 people from all over the world and has helped many of them to feel better.
Social Robots to Interact
Emotion AI is also being used to develop social robots. These are robots that are designed to interact with people in a social setting, such as a hospital or care home.
Social robots have the potential to provide emotional support and companionship to people who may be lonely or isolated.
One example of a social robot is Mabu, which was developed by Catalia Health. Mabu is a robot that helps patients to take their medication on time and keep track of their health.
Mabu is also able to provide emotional support to patients by engaging them in conversation and helping them to feel more connected.
So far, Mabu has been used by over 200 patients and has been shown to improve patient compliance with medication.
To conclude, Emotion AI is changing the way we interact with machines in a number of ways. From customer service to hospital care, Emotion AI is improving our lives altogether. From making them more personal to making them more human, this technology is having a big impact on the way we live and work.