Emotion space modelling for social robots

Abstract

Improving the interaction between artificial systems and their users is an important issue in artificial intelligence. In current trends in social robotics, this is accomplished by making such systems not just intelligent but also emotionally sensitive. Therefore, artificial emotional intelligence (AEI) is focused on simulating and extending natural emotion (especially human emotion) to provide robots with the capability to recognise and express emotions in human–robot interaction (HRI). In this treatise, we present an overview of the advances made in AEI by highlighting the progress recorded in the areas of emotion classification, emotional robots, and emotion space modelling in HRI. This review is aimed at providing readers with a succinct, yet adequate compendium of the progresses made in the emerging AEI sub-discipline. It is hoped this effort will stimulate further interest aimed at the pursuit of more advanced algorithms and models for available technologies and possible applications to other domains.