Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-06-06
2024-09-03
2024-07-09
Abstract—Due to recent technological advancement, the interest in the commercialization of unmanned aerial vehicles(UAVs) is increasing rapidly. UAVs are continuously being studied for various applications and purposes. As the purpose and use of UAVs expand, the demand for the pilot ability for safe and successful flight is also increasing. Due to the nature of the UAVs, it takes a long time for the pilots to become proficient. Despite, if a difficult situation arises during a flight and the pilot’s workload unexpectedly rises, an accident may occur. This is mainly due to mission load hike and inexperienced operation. Therefore, there is a need for a new GCS interface design to reduce the mission load, while increasing the mission success rate. In this paper, we propose a new method to design a more efficient GCS interface, and the new design has bene verified for its efficiency. The pilot gaze was tracked during mission operation using the newly designed GCS interface. The interface components were analyzed through the tracked gaze, and a GCS interface was evaluated. As a result of deriving the arrangement method with the shortest gaze path, the new GCS interface is found to be an efficient arrangement. At the same time, the new interface design shares the same ergonomic design principles, which proves to be fulfilling the design purposes. Index Terms—GCS interface, mission load, pilot gave, UAV flight, fatigue reduction, operation efficiency Cite: Sedam Lee, Yongjin Kwon, Jinyeong Heo, and Jooyoung Kim, "GCS Interface Mission Load Reduction Design through Pilot Gaze Point Analysis," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 9, pp. 710-717, September 2022. DOI: 10.18178/ijmerr.11.9.710-717 Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.