Affective computing
Area of research in computer science aiming to understand the emotional state of users / From Wikipedia, the free encyclopedia
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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.[1] While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion,[2] the more modern branch of computer science originated with Rosalind Picard's 1995 paper[3] on affective computing and her book Affective Computing[4] published by MIT Press.[5][6] One of the motivations for the research is the ability to give machines emotional intelligence, including to simulate empathy. The machine should interpret the emotional state of humans and adapt its behavior to them, giving an appropriate response to those emotions.
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