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A method for designing levels of automation based on a human-machine cooperation model

Abstract : Human-machine systems are omnipresent in our everyday life. These systems are very important; they allow human and machine understanding and working together efficiently. But poor choices during its design can have important impacts, principally in terms of safety, security and performance. The design of human-machine systems takes into account the human factors, and both human and machine limitations and abilities through the levels of automation. Therefore, it is needful for the design of such systems to do a preliminary study regarding the possible interactions between human and machine. In this context, we are interested in robotic domain especially in the supervision and control of a self-organized swarm of robots adapted for the human needs. This paper illustrates a methodological approach based on a human-machine cooperation model used to identify different interactions between human and robot and then to define adequate levels of automation taking into account the capacities and abilities of both human and robot according to the situation.
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https://hal-uphf.archives-ouvertes.fr/hal-03413049
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Submitted on : Wednesday, November 3, 2021 - 3:07:15 PM
Last modification on : Thursday, November 4, 2021 - 4:07:44 AM

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  • HAL Id : hal-03413049, version 1

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Lydia Habib, Marie-Pierre Pacaux-Lemoine, Patrick Millot. A method for designing levels of automation based on a human-machine cooperation model. 20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, France. ⟨hal-03413049⟩

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