Affective Computing is an interdisciplinary research area that uses models of affect to recognize emotional expressions, simulate affect, and create emotional behavior.
This course gives an overview of theories of human emotion and how emotions, social values, cognitive processes, and bodily expressions are connected. Also, hardware and computational techniques are presented and discussed for modeling human emotion components and processes and for recognizing and synthesizing emotional behavior.
Further, we will discuss how to extend traditional HCI systems to create Social HCI systems. Master students will gain a strong background in the theory and practice of human-centered computing as it relates to games, immersive environments, and pedagogical applications.
Organisation, Registration, Slides, Tutorials, Exercises: SIC CMS
Instructors: Patrick Gebhard (email@example.com), Fabrizio Nunnari (firstname.lastname@example.org), Philipp Müller (email@example.com), and Janet Weßler (firstname.lastname@example.org)
Lecture dates: Thursday, 10 -12 am
Location: HS 003, E1 3
Exam: February 16th, 2023
Grades: Exam + exercise (bonus of 0,3 when having more than 50% in the exercise)
Current Objectives for Participants
Support Reading: The Oxford Handbook of Affective Computing – The Promise of Affective Computing
Preparation Reading: Oxford Handbook of Affective Computing – A Short History of Psychological Perspectives on Emotion