Abstract
To improve the safety and the performance of operators involved in risky and demanding missions, human-machine cooperation should be dynamically adapted, in terms of dialogue or function allocation. To support this reconfigurable cooperation, a crucial point is to assess online the operator’s ability to keep performing the mission, to anticipate and predict potential future performance impairments, as well as to be able to activate appropriate countermeasures in time. Thus, the paper explores the concept of Operator Functional State (OFS) developed by Hockey in 2003, by articulating it with underlying cognitive and attentional states, as well as with the notion of cognitive control modes.
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Acknowledgement
The authors would like to thank the DGA (Direction Générale de l’Armement), Thales AVS and Dassault Aviation which support the funding of this study and the scientific program “Man-Machine Teaming” in which the research project PRECOGS occurs.
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Kostenko, A., Rauffet, P., Moga, S., Coppin, G. (2019). Operator Functional State: Measure It with Attention Intensity and Selectivity, Explain It with Cognitive Control. In: Longo, L., Leva, M. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2019. Communications in Computer and Information Science, vol 1107. Springer, Cham. https://doi.org/10.1007/978-3-030-32423-0_10
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DOI: https://doi.org/10.1007/978-3-030-32423-0_10
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