Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison

Omar Alharasees; Muftah S. M. Abdalla; Utku Kale

doi:10.1109/HORA58378.2023.10156755

Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison

Omar Alharasees, Muftah S. M. Abdalla, Utku Kale

Aviation Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.

Original language	English
Title of host publication	HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	9798350337525
ISBN (Print)	9798350337532
DOIs	https://doi.org/10.1109/HORA58378.2023.10156755
Publication status	Published - 2023
Event	5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 - Istanbul, Turkey Duration: 8 Jun 2023 → 10 Jun 2023

Conference

Conference	5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023
Country/Territory	Turkey
City	Istanbul
Period	8/06/23 → 10/06/23

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@inproceedings{47bf4ae1d0e3477695649cc383b8f958,

title = "Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison",

abstract = "Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.",

keywords = "Human computer interaction, Systematics, Focusing, Analytic hierarchy process, Autonomous aerial vehicles, Artificial intelligence, Robots, UAV, OODA, AI, AHP, Safety",

author = "Omar Alharasees and Abdalla, {Muftah S. M.} and Utku Kale",

note = "Copyright {\textcopyright} 2023 by the Institute of Electrical and Electronics Engineers, Inc. All Rights Reserved. ; 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 ; Conference date: 08-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/HORA58378.2023.10156755",

language = "English",

isbn = "9798350337532",

booktitle = "HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Alharasees, O, Abdalla, MSM & Kale, U 2023, Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison. in HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc., 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023, Istanbul, Turkey, 8/06/23. https://doi.org/10.1109/HORA58378.2023.10156755

Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison. / Alharasees, Omar; Abdalla, Muftah S. M.; Kale, Utku.
HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Evaluating AI-UAV Systems

T2 - 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023

AU - Alharasees, Omar

AU - Abdalla, Muftah S. M.

AU - Kale, Utku

PY - 2023

Y1 - 2023

N2 - Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.

AB - Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination of the 'Observe-Orient-Decide-Act (OODA)' loop and the 'Analytic Hierarchy Process (AHP)' method for evaluating AI-UAV systems. The integration of the OODA loop into AHP aims to assess and weigh the critical components of AI-UAV operations, including (i) perception, (ii) decision-making, and (iii) adaptation. The research compares the results of the AHP evaluation between different groups of UAV operators. The findings of this research identify areas for improvement in AI-UAV systems and guide the development of new technologies. In conclusion, this combined approach offers a comprehensive evaluation method for the current and future state of AI-UAV operations, focusing on operator group comparison.

KW - Human computer interaction

KW - Systematics

KW - Focusing

KW - Analytic hierarchy process

KW - Autonomous aerial vehicles

KW - Artificial intelligence

KW - Robots

KW - UAV

KW - OODA

KW - AI

KW - AHP

KW - Safety

U2 - 10.1109/HORA58378.2023.10156755

DO - 10.1109/HORA58378.2023.10156755

M3 - Conference contribution

AN - SCOPUS:85165684624

SN - 9798350337532

BT - HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 8 June 2023 through 10 June 2023

ER -

Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison

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