Area of research in computer science aiming to understand the emotional state of users
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8 identifiers linking affective computing across the web's reference databases
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Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion, the modern idea originated with Rosalind Picard's 1995 paper entitled "Affective Computing" and her 1997 book of the same name published by MIT Press. One motivation for researching affective computing is the ability to give machines emotional intelligence, including simulating empathy. The goal is that a machine should interpret the emotional state of humans and adapt its behavior to those emotions, responding appropriately. Emotional AI is used to detect and recognize users' emotional states, and thereby offer real-time emotional support, such as generating personalized affective responses to regulate users emotions.