Advancing Situation Awareness Systems:Evaluating Decision-Making Methods with UAV Applications
Keywords:
Situation Awareness, Decision-making, Unmanned Aerial Vehicles (UAVs), Heuristic based methods, Model based methods, Data driven methodsAbstract
Situation awareness (SA) refers to the perception of environmental elements within a specific volume of time and space, understanding their meaning, and projecting their near future status. This model has three levels: perception of the current situation, comprehension of the current situation, and projection of future status. SA is a term used to describe an individual’s level of awareness and understanding of "what is happening". Therefore, SA serves as the first step in decision-making, providing an understanding of "what is happening" and "what is likely to happen". In practice, safe decision-making depends on the continuous extraction of technical and environmental information, integrating knowledge, and forming a coherent mental picture to guide perception and predict future events. The use of this concept is essential for several reasons. First, situation awareness systems improve the accuracy of decisions by providing up-to-date and comprehensive information about the environment. These systems, by delivering precise data and analyses, reduce human errors and ensure that decision-makers consider all relevant factors and data, leading to more accurate decisions. Moreover, situation awareness increases decision-making speed. These systems quickly identify environmental changes and process large volumes of data in a short time, providing decision-makers with relevant information rapidly, which leads to timely and swift decisions.
In recent years, the application of SA has gained prominence in Unmanned Aerial Vehicles (UAVs), where continuous extraction of technical and environmental information is vital for safe and efficient operations. UAVs rely on real-time data integration to form coherent mental models that guide perception, enhance decision-making, and predict future events, thus improving operational safety and efficiency. The use of SA systems in UAVs is essential for several reasons. First, they enhance decision accuracy by providing comprehensive, up-to-date information about the environment, reducing human errors and ensuring that all relevant data are considered, and increases decision making speed. Hence, in this paper, we examine and evaluate various decision-making methods in situation awareness systems by focusing on UAV application.
References
. Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human factors, 37(1), 32-64.
. Stanton, N. A., Salmon, P. M., Walker, G. H., Salas, E., & Hancock, P. A. (2017). State-of-science: situation awareness in individuals, teams and systems. Ergonomics, 60(4), 449-466.
. Munir, A., Aved, A., & Blasch, E. (2022). Situational awareness: techniques, challenges, and prospects. AI, 3(1), 55-77.
. Dehghan, M., Sadeghiyan, B., & Khosravian, E. (2021). Private trajectory intersection testing: Is garbled circuit better than custom protocols?. International Journal of Engineering, 34(4), 863-872.
. Dehghan, M., Sadeghiyan, B., Khosravian, E., Moghaddam, A. S., & Nooshi, F. (2022). Proapt: Projection of apt threats with deep reinforcement learning. arXiv preprint arXiv:2209.07215.
. Endsley, M. R. (2018). Automation and situation awareness. In Automation and human performance (pp. 163-181). CRC Press.
. Dehghan, M., Khosravian, E., (2024). A Review of Cognitive UAVs: AI-Driven Situation Awareness for Enhanced Operations. AI and Tech in Behavioral and Social Sciences, 2(4), 54-65. https://doi.org/10.61838/kman.aitech.2.4.6
. Stanners, M., & French, H. T. (2005). An empirical study of the relationship between situation awareness and decision making.
. Chauvin, C., Clostermann, J. P., & Hoc, J. M. (2008). Situation awareness and the decision-making process in a dynamic situation: avoiding collisions at sea. Journal of cognitive engineering and decision making, 2(1), 1-23.
. Lu, J., Zhang, G., & Wu, F. (2008). Team situation awareness using web-based fuzzy group decision support systems. International Journal of Computational Intelligence Systems, 1(1), 50-59.
. Brannon, N. G., Seiffertt, J. E., Draelos, T. J., & Wunsch II, D. C. (2009). Coordinated machine learning and decision support for situation awareness. Neural Networks, 22(3), 316-325.
. Nwiabu, N., Allison, I., Holt, P., Lowit, P., & Oyeneyin, B. (2011, February). Situation awareness in context-aware case-based decision support. In 2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) (pp. 9-16). IEEE.
. Eräranta, S., & Staffans, A. (2015, July). From situation awareness to smart city planning and decision making. In 14th International Conference on Computers in Urban Planning and Urban Management.
. Mohsin, B., Steinhäusler, F., Madl, P., & Kiefel, M. (2016). An innovative system to enhance situational awareness in disaster response. Journal of Homeland Security and Emergency Management, 13(3), 301-327.
. Venayagamoorthy, G. K. (2017). U.S. Patent No. 9,778,629. Washington, DC: U.S. Patent and Trademark Office.
. Mykich, K., & Burov, Y. (2017). Algebraic framework for knowledge processing in systems with situational awareness. In Advances in Intelligent Systems and Computing: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine (pp. 217-227). Springer International Publishing.
. Tower, M., Watson, B., Bourke, A., Tyers, E., & Tin, A. (2019). Situation awareness and the decision‐making processes of final‐year nursing students. Journal of clinical nursing, 28(21-22), 3923-3934.
. Laugier, C. (2019, November). Situation Awareness & Decision-making for Autonomous Driving. In IROS 2019-IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 1-25). IEEE.
. Patel, A. M., Porat, T., & Baxter, W. L. (2020, November). Enhancing Situation Awareness and Decision Making in Primary Care: Clinicians’ Views. In 2020 IEEE International Conference on Healthcare Informatics (ICHI) (pp. 1-9). IEEE.
. Grigaliunas, S., Toldinas, J., Venckauskas, A., Morkevicius, N., & Damaševičius, R. (2020). Digital evidence object model for situation awareness and decision making in digital forensics investigation. IEEE Intelligent Systems, 36(5), 39-48.
. Jain, S., & Patel, A. (2020). Situation-aware decision-support during man-made emergencies. In Proceedings of ICETIT 2019: Emerging Trends in Information Technology (pp. 532-542). Springer International Publishing.
. Insaurralde, C. C., & Blasch, E. (2022). Situation awareness decision support system for air traffic management using ontological reasoning. Journal of Aerospace Information Systems, 19(3), 224-245.
. Roman, D. (2022, December). SITUATIONAL AWARENESS IN THE MILITARY ACTIONS MANAGEMENT FOR INTEGRATED SIMULATION SYSTEMS. In PROCEEDINGS OF THE INTERNATIONAL SCIENTIFIC CONFERENCE STRATEGIES XXI. VOLUME XVIII (pp. 545-552). Carol I National Defence University Publishing House.
. D'Aniello, G., & Gaeta, M. (2023). Situation Awareness in Human‐Machine Systems. Handbook of Human‐Machine Systems, 451-461.
. Molloy, M. J., Zackoff, M., Gifford, A., Hagedorn, P., Tegtmeyer, K., Britto, M. T., & Dewan, M. (2024). Usability Testing of Situation Awareness Clinical Decision Support in the Intensive Care Unit. Applied Clinical Informatics, 15(02), 327-334.
