Affective Computing with Case Studies

This is a basic–level self-standing learning module on Affective Computing. 
Affective Computing is where technology meets human emotions. This beginner-friendly, self-standing module (5–10 hours) introduces the core ideas and real-world applications of this novel and constantly expanding research field. One can learn how emotions can be observed and recorded through facial expressions, speech, body pose, and gestures; and how AI systems process this data to understand a person’s state of mind. 
We explore both science and technology: from the fundamentals of human emotion theory to AI-assisted analysis, including the role of context in interpreting emotions. We pay particular attention to emotional interaction, where machines not only sense emotions but also respond to them in a natural and empathetic way. 
By the end of the course, students will have acquired the fundamental knowledge to understand how affective computing is transforming industries ranging from healthcare and education to gaming and assistive technologies, and how it may influence future interactions between humans, machines, and interfaces.