Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming

J. van Diggelen; J. S. Barnhoorn; M. M. M. Peeters; W. van Staal; M. L. Stolk; B. van der Vecht; J. van der Waa; J. M. Schraagen

arXiv · 1909.04492

Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming

J. van Diggelen·J. S. Barnhoorn·M. M. M. Peeters·W. van Staal·M. L. Stolk·B. van der Vecht·J. van der Waa·J. M. Schraagen

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Abstract

As intelligent systems are increasingly capable of performing their tasks without the need for continuous human input, direction, or supervision, new human-machine interaction concepts are needed. A promising approach to this end is human-agent teaming, which envisions a novel interaction form where humans and machines behave as equal team partners. This paper presents an overview of the current state of the art in human-agent teaming, including the analysis of human-agent teams on five dimensions; a framework describing important teaming functionalities; a technical architecture, called SAIL, supporting social human-agent teaming through the modular implementation of the human-agent teaming functionalities; a technical implementation of the architecture; and a proof-of-concept prototype created with the framework and architecture. We conclude this paper with a reflection on where we stand and a glance into the future showing the way forward.

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J. van Diggelen, J. S. Barnhoorn, M. M. M. Peeters, W. van Staal, M. L. Stolk, B. van der Vecht, J. van der Waa, J. M. Schraagen. 2019-09-10. Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming. https://arxiv.org/abs/1909.04492

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