Guillaume Chanel holds a Ph.D. in Computer science, University of Geneva, 2009, where he worked on machine learning for the automatic assessment of emotions based on EEG and peripheral signals. From 2009 to 2010 he was at the KML-Knowledge Media Laboratory, Aalto University, Helsinki, Finland, studying the physiological correlates of social processes taking place between players during video-gaming. Now head of the SIMS group and senior lecturer jointly affiliated with the Swiss Center for Affective Sciences and with the Computer Science Depatement of the University of Geneva, his research investigates how machines can learn to behave in a social and affective environment. He is particularly interested in the use of multimodal and physiological measures for entertainment, and for improving man-machine and human remote interactions. Examples of his research include: dynamic adjustment of games mechanic based on players’ emotions, inclusion of physiological emotional cues in mediated social interactions, movie highlight detection based on spectators’ social reactions and adaptation of human social behaviors through machines.
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PhD in Computer Science (Affective computing), 2009
University of Geneva
MEng in Computer science and robotics, 2002
IMERIR / University of Montpellier