Artificially Empathic Technology (AES) extends the perspective of Affective Computing from recognizing, modeling, and synthesizing emotional behavior to the design of systems that can interpret human experience, support emotion or social regulation, and act sensitively in social interaction. Guided by the AES framework, the lecture explores how affect, cognition, bodily expression, social values, and interpersonal dynamics can be operationalized in computational systems without reducing artificial empathy to mere emotion recognition. A central focus is translating competing psychological theories of emotion, appraisal, attachment, regulation, and social interaction into computational models, comparing them, and critically evaluating them. In doing so, the lecture also introduces key insights from psychological methodology: how theoretical constructs are defined, measured, validated, and transformed into human-centered technologies for domains such as games, immersive environments, education, and social assistance.
Organisation, Registration, Slides, Tutorials, Exercises: (see SIC CMS, t.b.a.)
Instructors: Patrick Gebhard, Anna Lea Reinwarth
Tutor: t.b.a.
Lecture dates: Thursday, 10 -12 am
Location: HS 003, E1 3
Exam: t.b.a
Re-Exam: t.b.a.