TY - GEN
T1 - Controller Evaluation for Earthwork Teleoperation and Training in Virtual Reality
AU - Saunier, Lca
AU - Preda, Marius
AU - Fetita, Catalin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Virtual reality (VR) training and teleoperation tech-nologies play a pivotal role in revolutionizing workforce de-velopment and remote machinery operation in Industry 4.0. By providing immersive, interactive, and cost-effective training solutions, they thereby enhance operational efficiency and safety standards. However, to achieve such results, they need the right tool for the right task, or in the case of VR, the right controller for the right application. This study assesses the performance of different controller types, including gaming gamepads, traditional VR controllers, and sim-ulators joysticks, in terms of user experience, task performance, and ease of use. Through a series of experiments and user feedback analyses, we identify the strengths and limitations of each controller. The results show that the joysticks, the controllers closest to the real-life interface present in excavators, are the most suited interface for our VR earthwork application despite the lack of user familiarity with this controller.
AB - Virtual reality (VR) training and teleoperation tech-nologies play a pivotal role in revolutionizing workforce de-velopment and remote machinery operation in Industry 4.0. By providing immersive, interactive, and cost-effective training solutions, they thereby enhance operational efficiency and safety standards. However, to achieve such results, they need the right tool for the right task, or in the case of VR, the right controller for the right application. This study assesses the performance of different controller types, including gaming gamepads, traditional VR controllers, and sim-ulators joysticks, in terms of user experience, task performance, and ease of use. Through a series of experiments and user feedback analyses, we identify the strengths and limitations of each controller. The results show that the joysticks, the controllers closest to the real-life interface present in excavators, are the most suited interface for our VR earthwork application despite the lack of user familiarity with this controller.
KW - digital twin
KW - earthwork
KW - human-machine interactions
KW - human-machine interfaces (HMI)
KW - teleoperation
KW - training
KW - virtual reality (VR)
U2 - 10.1109/HSI61632.2024.10613582
DO - 10.1109/HSI61632.2024.10613582
M3 - Conference contribution
AN - SCOPUS:85201558629
T3 - International Conference on Human System Interaction, HSI
BT - 2024 16th International Conference on Human System Interaction, HSI 2024
PB - IEEE Computer Society
T2 - 16th International Conference on Human System Interaction, HSI 2024
Y2 - 8 July 2024 through 11 July 2024
ER -