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The Future of Human Robot Teams in the Army: Factors Affecting a Model of Human-System Dialogue Towards Greater Team Collaboration

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Advances in Human Factors in Robots and Unmanned Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 499))

Abstract

Understanding of intent is one of the most complex traits of highly efficient teams. Combining elements of verbal and non-verbal communication along with shared mental models about mission goals and team member capabilities, intent requires knowledge about both task and teammate. Beginning with the traditional models of communication, accounting for teaming factors, such as situation awareness, and incorporating the sensing, reasoning, and tactical capabilities available via autonomous systems, a revised model of team communication is needed to accurately describe the unique interactions and understanding of intent which will occur in human-robot teams. This paper focuses on examining the issue from a system capability viewpoint, identifying which system capabilities can mirror the abilities of humans through the sensor and computing strengths of autonomous systems, thus creating a team environment which is robust and adaptable while maintaining focus on mission goals.

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Authors and Affiliations

  1. US Army Research Laboratory, Adelphi, MD, USA

    A. William Evans, Matthew Marge, Ethan Stump, Garrett Warnell, Joseph Conroy, Douglas Summers-Stay & David Baran

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  1. A. William Evans
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  2. Matthew Marge
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  3. Ethan Stump
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  6. Douglas Summers-Stay
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  7. David Baran
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Correspondence to A. William Evans .

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Editors and Affiliations

  1. U.S. Army Research Laboratory, Aberdeen Proving Ground, USA

    Pamela Savage-Knepshield

  2. U.S. Army Research Laboratory, Aberdeen Proving Ground, USA

    Jessie Chen

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William Evans, A. et al. (2017). The Future of Human Robot Teams in the Army: Factors Affecting a Model of Human-System Dialogue Towards Greater Team Collaboration. In: Savage-Knepshield, P., Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. Advances in Intelligent Systems and Computing, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-319-41959-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-41959-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41958-9

  • Online ISBN: 978-3-319-41959-6

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