Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
Robotics
2020-10-12 v1 Human-Computer Interaction
Abstract
In this paper, we propose a minimum set of concepts and signals needed to track the social state during Human-Robot Interaction. We look into the problem of complex continuous interactions in a social context with multiple humans and robots, and discuss the creation of an explainable and tractable representation/model of their social interaction. We discuss these representations according to their representational and communicational properties, and organize them into four cognitive domains (scene-understanding, behaviour-profiling, mental-state, and dialogue-grounding).
Keywords
Cite
@article{arxiv.2010.04570,
title = {Explainable Representations of the Social State: A Model for Social Human-Robot Interactions},
author = {Daniel Hernández García and Yanchao Yu and Weronika Sieińska and Jose L. Part and Nancie Gunson and Oliver Lemon and Christian Dondrup},
journal= {arXiv preprint arXiv:2010.04570},
year = {2020}
}