Enterprises and software developers can now embed Emotion AI into their solutions to improve customer experience and operational efficiencies. Read below.
Join the DZone community and get the full member experience. What did you feel while seeing the price tag of a product in a supermarket? You may not realize it, but machines can read these incredibly nuanced subtilities of human expressions, and retailers can use it to their advantage. A device loaded with a specific software program can predict whether a person is smiling out of frustration or joy. Human-computer interaction has gone beyond the realms of sci-fi fantasies and turned into reality. The rise of emotionally aware machines has blurred the human-machine divide, and it is now redefining the way people experience technology. Emotion AI, also known as Affective Computing, is all about how AI can decode the emotional status of a human being by analyzing their facial expressions, such as head motion, facial distortions, movement of jaws, and speech pattern, etc. It detects, recognizes, and emulates human emotions through a programmed AI neural network. Without a doubt, humans can analyze and interpret complex emotional signals better. However, the gap is narrowing faster than you can imagine, thanks to advancements in big data capability and powerful algorithms.
