Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload

OBJECTIVE: Evaluating the ability of a Gibsonian-inspired artificial intelligence (AI) algorithm to reduce the cognitive workloads of military Unmanned Aerial Vehicle (UAV) operators. BACKGROUND: Military UAV operators use the command-and-control (C2) map for developing mission-relevant situation aw...

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Detalles Bibliográficos
Autores principales: Zak, Yuval, Parmet, Yisrael, Oron-Gilad, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Special Issue: In Memory Of Professor John W. Senders
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626988/
https://www.ncbi.nlm.nih.gov/pubmed/35392697
http://dx.doi.org/10.1177/00187208221081968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626988/
https://www.ncbi.nlm.nih.gov/pubmed/35392697
http://dx.doi.org/10.1177/00187208221081968

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