Laboratory study: Human Interaction using Remote Control System for Airport Safety ManagementShow others and affiliations
2024 (English)In: 2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024, IEEE conference proceedings, 2024, p. 167-170Conference paper, Published paper (Refereed)
Abstract [en]
Remote control technology for machines and robots has experienced significant advancement in many domains where visual information delivery is essential. Safety management at airports is one field that benefits from remote control systems, enabling operators to scan the airstrip for obstacles and debris. Depth perception and proper view position are critical in remote control systems, where operators need to accurately perceive 3D coordinates and maintain an appropriate perspective for performing tasks from a distance. This Demo paper presents a laboratory platform for an experimental study on human interaction with remote control systems using visual interfaces for inspection tasks to enhance airport safety management. The platform can evaluate the user experience of interfaces provided by First Person View, Third Person View, and Augmentation technologies. This platform enables exploration through controlled experiments and by user tests. These provide an avenue for assessing how these interfaces may affect human performance, depth perception, and user experience when conducting inspection tasks remotely. The findings will shed light on the strengths and limitations of each interface type, offering insights into their potential applications in various domains such as industrial inspection, surveillance, and remote exploration.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2024. p. 167-170
Keywords [en]
Augmented Reality, depth perception, Industrial Remote Control System, Quality of Experience, Unmanned Ground Vehicle, User Experience, viewpoint position
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-52178DOI: 10.1109/QoMEX61742.2024.10598280ISI: 001289486600030Scopus ID: 2-s2.0-85201060708ISBN: 9798350361582 (print)OAI: oai:DiVA.org:miun-52178DiVA, id: diva2:1890737
Conference
2024 16th International Conference on Quality of Multimedia Experience, QoMEX 2024
2024-08-202024-08-202024-10-11Bibliographically approved