A Study of Artificial Emotional Intelligence forHumanRobot Interaction

Human-Robot Social Interaction became one of active research fields in which researchers from different areas propose solutions and directives leading robots to improve their interactions with humans. It is important to be precise about the methodological approaches used in HRI studies, but at the same time one needs to be aware that there is is no ‘once-and-for-all’ solution applicable across HRI. This paper suggests practical testing of emotion identification and recognition approaches to enhance multi-modality in HRI. The role of the system proposed is to control the emotional responses generated by ambiguities during verbal and non-verbal exchanges between an assistant and a person. The key purpose of the thesis is to enhance the personalization of social robotics in the emotional conditions of consumers.