Affective Computing
We pioneer new technologies with a kind of "people sense" that adapts intelligently to human states of attention, frustration, motivation, and more. For example, we are enabling technology to see when is (not) a good time to interrupt you based on taking into account not only the usual task information, but also whether you are concentrating or interested. We are currently applying this technology to help people with autism who are impaired in social-emotional communication. At the same time, we utilize the insights of people with autism as we try to build technology that is less autistic. We are also looking at applications in automobiles, in health/fitness behavior change, and in learning technologies. We work on many platforms, including wearables, handhelds, a new articulated desktop monitor, and robots.
Students with skills in machine learning and pattern recognition, emotional intelligence, sensor and interface design, and who have a strong desire to build technologies to make people's lives better.
