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Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. The field is an interdisciplinary field spanning computer science, psychology, and cognitive science. A motivation for the research is the ability to simulate empathy. Emotions in machines might be associated with abstract states associated with progress (or lack of progress) in autonomous learning systems. In e-learning applications, affective computing can be used to adjust the presentation style of a computerized tutor when a student is bored, interested, frustrated, or pleased.