Sensing Physiological Signals Associated with Emotions: From User Modeling to the User

old_uid332
titleSensing Physiological Signals Associated with Emotions: From User Modeling to the User
start_date2005/12/08
schedule14h30
onlineno
summaryThe recently fully acknowledged role of emotions in human communication and decision-making has motivated a new field of investigation within Computer Science – Affective Computing – which aims at rendering digital artifacts aware of human emotions and able to express emotions for enhanced Human-Computer Interaction (HCI) and Computer-Mediated Communication (CMC), as well as endowing them with some of the functionalities of the human emotional system for increased autonomy and ability to deal with uncertainty. In this talk, we describe how physiological signals expressed during emotional arousal are processed and categorized according to various emotional dimensions in order to render Human-Computer Interaction (HCI) and Computer-Mediated Communication (CMC) more natural and efficient. Various experiments to elicit different emotions in different contexts will be presented, and measures of physiological signals associated with emotions will be shown. Further research implications will be addressed.
responsiblesPelachaud