Affective AI is a term from the fields of Artificial Intelligence, Digital Transformation, and Digital Society. It describes systems and technologies capable of recognising, interpreting, and responding to human emotions. For example, affective AI analyses facial expressions, tone of voice, gestures, or even text to capture feelings such as joy, sadness, or anger.
The goal of affective AI is to create applications that can respond to emotional cues to make interactions more natural and personal. Such technologies are increasingly being used in customer service chatbots, learning platforms, and healthcare.
A simple example: A customer service chatbot with affective AI recognises from written messages whether the user is annoyed. The system then adapts its answers, remains particularly friendly and makes a greater effort to solve the problem. This results in more empathetic communication that contributes to customer satisfaction.
Affective AI has the potential to make our digital world more human and fundamentally change how we interact with machines.
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