Improving remote control efficiency for dynamic systems through criterial evaluation of visual human-machine interfaces

Authors

DOI:

https://doi.org/10.18372/2073-4751.85.21090

Keywords:

dynamic object, human-machine interface (HMI), integral quality index, expert assessment, remote control, criterion-based evaluation

Abstract

The scientific article addresses the critical socio-technological challenge of enhancing the efficiency of remote control for dynamic objects and ensuring the ergonomic quality of visual human-machine interfaces. Within the scope of the study, an information technology for evaluation has been developed, based on a hierarchically structured system of criteria. This technology provides a formalized analysis of human-machine interaction efficiency by determining the integral quality index of the interface. It is demonstrated that the efficiency of remote control systems is significantly determined by the balanced distribution of interface characteristics across the criteria of cognitive workload and functional completeness. This enables a justified selection and optimization of interface solutions tailored to specific tasks and mission types, thereby increasing the performance of operator activities within complex information environments.

References

Hubskyi, О. M. (2024). Analysis of user interfaces for ground control stations of unmanned aerial vehicles. Cybernetics and Computer Engineering, 2024(3), 5–21. https://doi.org/10.15407/kvt217.03.005

Liu, H., et al. (2026). Operational performance, cognitive load, visual attention, and usability of fixed-, manual-, and autonomous-camera control in single- and multiple-camera telemanipulation systems. Applied Ergonomics, 130, Article 104647. https://doi.org/10.1016/j.apergo.2025.104647

Рябовол, Д. А. (2021). Аналіз досліджень щодо сприйняття візуальної інформації для проектування адитивного кібер-дизайну людино-машинного інтерфейсу для Smart Manufacturing. У Радіоелектроніка та молодь у ХХІ столітті: матеріали 25-го Міжнар. молодіж. форуму (Т. 2, с. 21–22). ХНУРЕ.

Wenjuan Zhang, Yunmei Liu, David B. Kaber, Effect of interface design on cognitive workload in unmanned aerial vehicle control,International Journal of Human-Computer Studies, Volume 189, 2024, 103287, ISSN 1071-5819, https://doi.org/10.1016/j.ijhcs.2024.103287

Haonan Fang, Yaoguang Hu, Shanguang Chen, Xiaonan Yang, Yan Zhao, Hongwei Niu, Chenfei Cai, Effects of interface design and spatial ability on teleoperation cognitive load and task performance, Displays, Volume 87, 2025, 102977,ISSN 0141-9382, https://doi.org/10.1016/j.displa.2025.102977

Zhenhao Luo, Cheng Zhang, Xiao Yang, Bin Xie, Zihan Yang, Zhenghe Song, Enrong Mao,A human visual attention analysis model for remote interaction interface of unmanned agricultural vehicles,Computers and Electronics in Agriculture,Volume 227, Part 1,2024,109516,ISSN 0168-1699, https://doi.org/10.1016/j.compag.2024.109516

Alharasees, O., Kale, U. Human Factors and AI in UAV Systems: Enhancing Operational Efficiency Through AHP and Real-Time Physiological Monitoring. J Intell Robot Syst 111, 5 (2025). https://doi.org/10.1007/s10846-024-02188-y

Wenjuan Zhang, D. Feltner, J. Shirley, M. Swangnetr and D. Kaber, "Unmanned aerial vehicle control interface design and cognitive workload: A constrained review and research framework," 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, 2016, pp. 001821-001826, doi: https://doi.org/10.1109/SMC.2016.7844502

Zhou, Feng & Duh, Henry & Billinghurst, Mark. (2008). Trends in Augmented Reality Tracking, Interaction and Display: A Review of Ten Years of ISMAR. 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality.2.193-202. https://doi.org/10.1109/ISMAR.2008.4637362.

Holzinger, A., Carrington, A., & Müller, H. (2020). Measuring the quality of explanations: The system causability scale (SCS). KI – Künstliche Intelligenz, 34, 193–198. https://doi.org/10.1007/s13218-020-00636-z

Picardi, A., & Caruso, G. (2024). User-centered evaluation framework to support the interaction design for augmented reality applications. Multimodal Technologies and Interaction, 8(5), 41. https://doi.org/10.3390/mti8050041

Oborne, M. (2024). Mission Planner Home. ArduPilot Dev Team. https://ardupilot.org/planner/

Rowlands, D. (2024). PicaSim: The Flight Simulator. http://www.rowlhouse.co.uk/picasim/

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Published

2026-04-28

How to Cite

Volkov, O., & Hubskyi, O. (2026). Improving remote control efficiency for dynamic systems through criterial evaluation of visual human-machine interfaces. Problems of Informatization and Control, 1(85). https://doi.org/10.18372/2073-4751.85.21090

Issue

Vol. 1 No. 85 (2026)

Section

Статті

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