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Common Ground and Autonomy: Two Critical Dimensions of a Machine Teammate

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Advances in Human Factors and Simulation (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 958))

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Abstract

We propose common ground and autonomy are the two critical dimensions necessary for intelligent machine agents to make the transition from tool to teammate. Existing models delineate a number of teammate characteristics. We explore how these teammate characteristics can be distilled into common ground and autonomy and suggest research steps to test our proposal.

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Notes

  1. 1.

    We note that between papers or domains, “characteristics” are also referred to as dimensions, factors, features, constructs, traits, challenges. We use characteristics herein as a blanket term covering all these.

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Correspondence to Corey K. Fallon .

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Fallon, C.K., Blaha, L.M., Cook, K., Billow, T. (2020). Common Ground and Autonomy: Two Critical Dimensions of a Machine Teammate. In: Cassenti, D. (eds) Advances in Human Factors and Simulation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 958. Springer, Cham. https://doi.org/10.1007/978-3-030-20148-7_2

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