Social planning for social HRI
Liz Sonenberg, Tim Miller, Adrian Pearce, Paolo Felli, Christian, Muise, Frank Dignum

TL;DR
This paper explores social planning in human-robot interaction, emphasizing how computational agents can recognize social cues and make contextually appropriate decisions to enhance social engagement.
Contribution
It highlights recent advances in social planning, integrating social context into decision-making processes for social human-robot interaction.
Findings
Social planning improves robot responsiveness in social settings
Recognition of social cues enhances interaction quality
Context-aware decision-making leads to more natural interactions
Abstract
Making a computational agent 'social' has implications for how it perceives itself and the environment in which it is situated, including the ability to recognise the behaviours of others. We point to recent work on social planning, i.e. planning in settings where the social context is relevant in the assessment of the beliefs and capabilities of others, and in making appropriate choices of what to do next.
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Taxonomy
TopicsChild and Animal Learning Development · Multi-Agent Systems and Negotiation · Logic, Reasoning, and Knowledge
