Operator Functional State: Measure It with Attention Intensity and Selectivity, Explain It with Cognitive Control

An important aspect of the application of unmanned systems is the reliability and safety of controlling these devices. An innovative approach has been proposed to improve the efficiency of the pilot operator and the reliability of the automated control system. It includes the development of an algorithm for determining the pilot’s condition based on heart rate analysis. This algorithm helps to assess the condition of the pilot and his ability to control the drone. Another important element of the proposed approach is the algorithm for selecting the control mode of the automated control system for unmanned aerial vehicles, which takes into account information about the functional state of the pilot operator. This algorithm allows the system to automatically switch between different operating modes depending on the condition of the pilot, ensuring optimal control and minimizing the risks of human error. An integrated approach to improving the reliability of the unmanned aerial vehicle control system allows not only improving the work of the pilot operator, but also ensuring the safer and more efficient operation of automated systems.

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Operator Functional State: Measure It with Attention Intensity and Selectivity, Explain It with Cognitive Control

Cited by 3 publications

References 31 publications

Radical Connectionism – Implications for Mental Workload Research

Radical Connectionism – Implications for Mental Workload Research

Cognitive Control: Transitions in Control Modes Under Different Level of Workload and fNIRS Sensitivity

Monitoring the State of the Operator of the Ergatic System in UAV Control Tasks

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