Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload
- DOI
- 10.1177/00187208221081968
- Published
- 2022-04-07
- Container
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/00187208221081968,
title = {Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload},
author = {Yuval Zak and Yisrael Parmet and Tal Oron-Gilad},
year = {2022},
journal = {Human Factors: The Journal of the Human Factors and Ergonomics Society},
doi = {10.1177/00187208221081968},
url = {https://doi.org/10.1177/00187208221081968}
}RIS
TY - JOUR TI - Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload AU - Yuval Zak AU - Yisrael Parmet AU - Tal Oron-Gilad PY - 2022 JO - Human Factors: The Journal of the Human Factors and Ergonomics Society DO - 10.1177/00187208221081968 UR - https://doi.org/10.1177/00187208221081968 ER -
APA
Zak, Y., Parmet, Y., & Oron-Gilad, T. (2022). Facilitating the Work of Unmanned Aerial Vehicle Operators Using Artificial Intelligence: An Intelligent Filter for Command-and-Control Maps to Reduce Cognitive Workload. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1177/00187208221081968
Source records
- crossref · retrieved 2026-11-11T01:20:49.615Z