Toward Machines with Emotional Intelligence
MIT Media Lab
The skills of "emotional intelligence" have been argued to be among the
most important for people, even more important than mathematical and
verbal intelligences. Emotional intelligence includes the ability to
recognize emotion - to see if you're irritated or annoyed someone,
pleased or displeased them, bored or interested them. It includes the
ability to know when to show emotion (or not), and how you should
respond to another's emotions, as well as many other skills.
In this talk, I'll describe how we're giving computers new skills of
intelligence, specifically the ability to recognize and respond
appropriately to human emotion. I'll show examples of systems that try
to assess interest, frustration, stress, and a range of other states
that occur when interacting with computers. These systems involve new
kinds of sensing for desktop, wearable, and other ubiquitous interfaces,
as well as the development of new pattern recognition and machine
learning algorithms for drawing inferences from noisy multimodal data.
Current applications include human learning, usability feedback, health
behaviour change, and human-robot interaction.