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Human-Autonomy Teaming for Unmanned Vehicle Control: Examination of the Role of Operator Individual Differences

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Advances in Human Factors in Robots, Drones and Unmanned Systems (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1210))

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Abstract

Autonomous capabilities are reaching a point where they can fulfill the role of a teammate for the command and control of unmanned vehicles. Individual characteristics of a human operator may influence how an autonomous teammate is utilized and the team’s performance. Twenty-four participants completed a questionnaire that included the Ten-Item Personality Inventory (TIPI), Desirability of Control Scale, and items regarding video game experience and propensity to trust. They then worked with either a human or autonomous teammate to complete a series of missions using multiple simulated unmanned vehicles and rated how much they trusted their teammate. Results found several correlations between TIPI scores and performance measures. Propensity to trust scores were correlated with their trust ratings when the teammate was human, but not correlated when the teammate was autonomous. There were no significant correlations associated with video game experience or Desirability of Control. Implications of the results are discussed.

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Acknowledgment

This work was funded by the Air Force Research Laboratory.

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Authors and Affiliations

  1. Air Force Research Laboratory, 711 HPW/RHWC, Dayton, OH, USA

    Elizabeth Frost & Gloria Calhoun

  2. Infoscitex, Dayton, OH, USA

    Heath Ruff

Authors
  1. Elizabeth Frost
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  2. Heath Ruff
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  3. Gloria Calhoun
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Corresponding author

Correspondence to Elizabeth Frost .

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Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Matteo Zallio

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Frost, E., Ruff, H., Calhoun, G. (2021). Human-Autonomy Teaming for Unmanned Vehicle Control: Examination of the Role of Operator Individual Differences. In: Zallio, M. (eds) Advances in Human Factors in Robots, Drones and Unmanned Systems. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1210. Springer, Cham. https://doi.org/10.1007/978-3-030-51758-8_3

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