MIT Media Lab's Affective Computing Group

The MIT Media Lab's Affective Computing Group researches how technology can recognize, interpret, and respond to human emotions. They develop sensors, algorithms, and devices that can detect emotional states through facial expressions, voice tone, or physiological signals. The goal is to create systems that can understand feelings to improve human-computer interactions, making technologies more intuitive, empathetic, and responsive. Their work has applications in mental health, education, entertainment, and assistive technologies, aiming to foster more supportive and personalized experiences between humans and machines.