Abstract
This paper presents a paradigm for distilling trust behaviors in human-machine teams. The paradigm moves beyond diagnostic alarms-based automation definitions of compliance and reliance toward a view of trust behavior that includes automations where the machine has authority to act on behalf of the human-machine team in the environment. The paradigm first determines the purpose of the automation and then relies on three types of authority within the human-machine team to identify what trust behaviors will look like in specific instances. An example using the Space Navigator environment demonstrates how trust behaviors can be measured.
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The views expressed in this document are those of the author and do not reflect the official policy or position of the United States Air Force, the United States Department of Defense, or the United States Government.
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Bindewald, J.M., Rusnock, C.F., Miller, M.E. (2018). Measuring Human Trust Behavior in Human-Machine Teams. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_5
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DOI: https://doi.org/10.1007/978-3-319-60591-3_5
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