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Advances in Human Factors in Robots and Unmanned Systems pp 401–413Cite as

An Analysis of Displays for Probabilistic Robotic Mission Verification Results

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

Abstract

An approach for the verification of autonomous behavior-based robotic missions has been developed in a collaborative effort between Fordham University and Georgia Tech. This paper addresses the step after verification, how to present this information to users. The verification of robotic missions is inherently probabilistic, opening the possibility of misinterpretation by operators. A human study was performed to test three different displays (numeric, graphic, and symbolic) for summarizing the verification results. The displays varied by format and specificity. Participants made decisions about high-risk robotic missions using a prototype interface. Consistent with previous work, the type of display had no effect. The displays did not reduce the time participants took compared to a control group with no summary, but did improve the accuracy of their decisions. Participants showed a strong preference for more specific data, heavily using the full verification results. Based on these results, a different display paradigm is suggested.

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Notes

  1. 1.

    Participants used prior situational information for new scenarios.

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Acknowledgments

This research is supported by the United States Defense Threat Reduction Agency, Basic Research Award #HDTRA1-11-1-0038.

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Authors and Affiliations

  1. School of Interactive Computing, Georgia Tech, Atlanta, GA, 30332, USA

    Matthew O‘Brien & Ronald Arkin

Authors
  1. Matthew O‘Brien
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  2. Ronald Arkin
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Corresponding author

Correspondence to Matthew O‘Brien .

Editor information

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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O‘Brien, M., Arkin, R. (2017). An Analysis of Displays for Probabilistic Robotic Mission Verification Results. 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_33

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  • DOI: https://doi.org/10.1007/978-3-319-41959-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41958-9

  • Online ISBN: 978-3-319-41959-6

  • eBook Packages: EngineeringEngineering (R0)

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