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Modules

Affective Computing

Module code: AMU701P

Credits: 15.0
Semester: SEM2

Contact: Dr Bobby Sturm

This course is a guided exploration of affective computing, defined as computer systems that relate to, arise from, or deliberately influence emotion. It helps students examine how these systems detect human affect, how they respond to affect, and how they themselves express affect. The topics that are covered include but are not limited to definitions of affect, functions of affect, physiological manifestations of affect, affect data collection, affect model building, testing of affective interventions, and surveys of existing affect-sensitive systems. The student will survey literature in affect detection, response and expression. The student will learn to design and implement an affective computing experiment. This will include the collection of data, its analysis, and the writing of a report.

Connected course(s): UDF DATA
Assessment: 100.0% Final Mark
Level: 7

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