Dynamic workload management for multi-RPAS pilots
| Autor: | Miguel Ángel Fas-Millán, Enric Pastor |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
030506 rehabilitation
RPAS Computer science UAV CPDLC Aerospace Engineering Controller–pilot data link communications Workload Aeronàutica i espai::Aeronaus::Avions [Àrees temàtiques de la UPC] Avions no tripulats -- Sistemes de control Concept of operations Task (project management) 03 medical and health sciences Workload management 0501 psychology and cognitive sciences Electrical and Electronic Engineering Representation (mathematics) 050107 human factors Fluid Flow and Transfer Processes 05 social sciences Control and Systems Engineering Drone aircraft -- Control systems Key (cryptography) Systems engineering Scenario testing 0305 other medical science |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | This document describes a key aspect of NtoM, a concept of operations (ConOps) currently under development, which focuses on the awareness, productivity and safety of Remotely Piloted Aircraft System (RPAS) pilots controlling several flights at once in non-segregated airspace. An explanation will be given of how the ConOps suggests capturing, representing, managing and predicting the workload of the pilots. To illustrate some of the features of the concept, it was necessary to define a representation of the workload associated to the tasks. A synthetic task environment that used the NtoM prototype was built and used to evaluate the requirements of time and attention of pseudo-pilots based on their performance while executing the tasks and task overlaps, determine the top threshold of workload allowed for a pilot and detect incompatibilities among tasks. These values served as a reference to design demanding test scenarios, which helped to reveal weaknesses and inspire improvements that were addressed in the following stage of development. |
| Databáze: | OpenAIRE |
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