Through sensors, microphones, cameras, and/or software logic, affective computing technologies can detect a user's emotional state and react by implementing certain, predetermined product/service features, such as altering a quiz or suggesting a selection of videos to suit the learner's mood.
Affective Computing can be understood as human-computer interaction in which a device can recognise and react properly to the emotions and other cues of its user. With this capability, a computing system might acquire information on user emotion from a variety of sources. Indicators of a user's changing emotional state include facial expressions, posture, gestures, speech, the force or rhythm of keystrokes, and temperature variations of the hand on a mouse
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