Affective AI is a term used in the fields of artificial intelligence, digital transformation and digital society. It describes systems and technologies that are able to recognise, interpret and react to human emotions. Affective AI analyses facial expressions, voice tones, gestures or even texts, for example, in order to capture feelings such as joy, sadness or anger.
The aim of affective AI is to create applications that can respond to emotional signals in order to make interaction more natural and personalised. Such technologies are increasingly being used in customer service chatbots, learning platforms or in the healthcare sector.
A simple example: a customer service chatbot with affective AI recognises whether the user is angry based on the messages they have written. The system then adapts its responses, remains particularly friendly and makes a greater effort to solve the problem. This results in more empathetic communication, which contributes to customer satisfaction.
Affective AI has the potential to make our digital world more human and fundamentally change the way we interact with machines.
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