Emotional AI is primarily at home in the fields of artificial intelligence, digital transformation, and HR work and teams. The term describes technologies that can not only process data but also recognise, interpret, and react to human feelings. For example, Emotional AI analyses voice, facial expressions, or texts to capture moods such as joy, anger, or uncertainty.<\/p>\n
This is how Emotional AI can be used in service hotlines. Imagine a customer calling with an insurance problem. The software recognises from their voice whether they are stressed or angry and automatically adapts the responses. This can help to increase customer satisfaction because the caller feels understood.<\/p>\n
Emotional AI is also used in personnel selection. In video job interviews, an AI checks how confident or insecure someone appears in order to gain a more complete picture of their personality.<\/p>\n
Emotional AI opens up many opportunities for businesses to make communication with people more empathetic and efficient. It helps in making better decisions by incorporating emotional signals that often determine success or failure.<\/p>","protected":false},"excerpt":{"rendered":"