Affective Interaction The lectures will aims at : 1) giving a basic introduction to the theory of emotion from psychology and neuroscience viewpoints and to understand its importance in human decision and communication processes; 2) addressing the challenges in designing and evaluating systems that are capable of affectively interacting with humans. Methods to design, measure and influence the affective experience will be taught. Examples of current applications (e.g. in entertainment, education, health, therapy, rehabilitation, service robotics) will be used to identify problems and design solutions. Finally, the ethical implications (e.g., privacy) of affective interactive systems will be discussed.

Affective Computing and HRI
The module targets students who have no previous knowledge in cognitive science and emotion theory and therefore the aim of Part 1 of the module is to give a basic introduction to the theory of emotion from psychology and neuroscience viewpoints and to understand its importance in human decision and communication processes. Part 2 will concentrate on the application of machine learning techniques to emotion recognition by looking at current applications in entertainment, education, and health. Part 3 will focus on the challenges in designing robots that are capable of socially interacting with humans. Examples of current applications in entertainment, education, health, therapy, rehabilitation, service robotics, rescue robots will be used to identify problems and discuss machine learning solutions for the topics taught in Parts 2 and 3.