Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
This addresses the challenge of social interactions in multi-human, multi-robot contexts, but appears incremental as it builds on existing cognitive frameworks.
The paper tackles the problem of tracking social state in complex human-robot interactions by proposing a minimum set of concepts and signals, organizing them into four cognitive domains for explainable and tractable representations.
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).