Towards adaptability of levels of automation with Human-machine cooperation approach

Abstract

The current study focuses on how the levels of automation and the number of simultaneous functions that complete the task demands affect the human operator performance. The research objective is to assess the effects of different levels of automation of vehicles (teleoperated VS. autonomous) and the complexity of the task on human operator performance. An experiment is realized using the simulation environment “Mixed Initiative Experimental” (MIX) which is designed for research and training with unmanned systems. The MIX platform aims to respond to the need for warfighters support and training in the domain of robotic military equipment and unmanned systems in general. The complexity of the task is simulated by increasing the number of autonomous vehicles that a human operator has to supervise or to teleoperate.