Cognitive Science 0253 - Affective Computing

Affective computing represents a broad, interdisciplinary research and practice area focusing on a range of topics, including: affect-adaptive human-computer interaction, affective user modeling, computational models of emotion, cognitive-affective agent architectures; emotion sensing and recognition; and emotion expression. The course will introduce students to the theories, methods and techniques required to design and develop affective computing systems. The course will also explore applications of affective computing in a variety of contexts, including intelligent tutoring, affect-adaptive user interfaces, affective gaming, and intelligent social robots and virtual agents. The course will consist of lectures, student presentations of selected literature, projects and class discussion. The course content and format will be appropriate for students in computer science, cognitive science, psychology, as well as students in the arts, digital media, gaming, and those interested in the use of technology in education and healthcare. Prerequisite: One college level programming course or permission of instructor.

Independent Work Quantitative Skills Writing and Research Instructor: Eva Hudlicka, Adjunct Instructor of Computer Science. In this course, students are expected to spend at least six to eight hours a week of preparation and work outside of class time. This time includes reading, writing, research.