Social learning plays an important role in behavior learning among social animals. In
contrast to individual (asocial) learning, social learning has the advantage of allowing …

Norms and normative multiagent systems have become the subjects of interest for many
researchers. Such interest is caused by the need for agents to exploit the norms in …

Current research in human–robot interaction often focuses on rendering communication
between humans and robots more 'natural'by designing machines that appear and behave …

This article lays out the framework for relational-performative aesthetics in human-robot
interaction, comprising a theoretical lens and design approach for critical practice-based …

This paper explores movement and its capacity for meaning-making and eliciting affect in
human-robot interaction. Bringing together creative robotics, dance and machine learning …

We propose that feminist reconceptualisations of agency and difference could dramatically
expand our possibilities for both relating to robots in social scenarios and designing them as …

This paper discusses a novel approach towards socializing non-anthropomorphic robots,
which harnesses the expert knowledge of dancers to develop abstract robot morphologies …

This paper investigates how a non-humanlike, abstract robot can develop a social presence
based on its capacity to move in delicate and dynamic ways. We outline our Performative …

Abstract Future Intelligent Environments will feature fixed and mobile display screens with
socially-aware virtual embodied agents. This paper addresses the potential of virtual …

The study of imitation and other mechanisms of social learning is an exciting area of
research for all those interested in understanding the origin and the nature of animal …