Modeling operator workload for the resource prospector lunar rover mission

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Abstract

NASA’s Resource Prospector mission is an unmanned lunar exploration mission currently in the concept development stage. Early tests have shown that the unique mission characteristics may combine to create the potential for very high workload for operators. This paper applies a taxonomy of workload drivers to identify the contextual variables expected to contribute to operator workload during the mission. Specifically, workload drivers attributed to the environment, task demands, equipment, and operator characteristics are reviewed. This research is intended to support the development of predictive models of operator workload to support the design and evaluation of workload countermeasures for the mission.

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Hooey, B. L., Toy, J. J. N. T., Carvalho, R. E., Fong, T., & Gore, B. F. (2018). Modeling operator workload for the resource prospector lunar rover mission. In Advances in Intelligent Systems and Computing (Vol. 591, pp. 183–194). Springer Verlag. https://doi.org/10.1007/978-3-319-60591-3_17

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