Affective computing is a branch of the study and development of artificial intelligence that deals with the design of systems and devices that can recognize, interpret, and process human emotions. It is an interdisciplinary field spanning computer sciences, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical enquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behaviour to them, giving an appropriate response for those emotions.
Areas of affective computing
1. Detecting and recognizing emotional information
2. Emotion in machines
Technologies of affective computing
1. Emotional speech
2. Facial expression
3. Body gesture
4. Visual aesthetics
5. Potential applications
Application examples
1. Wearable computer applications make use of affective technologies, such as detection of biosignals
2. Human–computer interaction
3. Kismet
4. ACQUINE Aesthetic Quality Inference Engine
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