The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications

Maradona Gatara, Mjumo Mzyece, Sijo Parekattil, Sijo Parekattil

2024

Abstract

The coming Beyond 5G (B5G) era could mark a paradigm shift towards user-centric Quality of Experience (QoE) centred network architectures. The infusion of QoE user requirements into network architectures will be crucial for future ultra-reliable, ultra-low latency haptic-enabled Internet applications. One such application will be the mission-critical use case of remote (tele-haptic) robotic surgery, signifying a transition towards skillset delivery networks that will augment user task performance experience. In extending traditional Quality of Service (QoS)-oriented networks to user focused QoE and with it, Quality of Task (QoT) components, human users in a global control loop (such as robotic surgeons) will be capable of true-to-life immersive remote task performance through the manipulation of objects in real-time, and of transcending geographical distance. In this preliminary study using data elicited from 20 practising robotic surgeons (n = 20), we examine the emergence of a future B5G network and haptic-enabled Internet of Skills (IoS) architecture, applied to the task-sensitive mission-critical use case of remote (tele-haptic) robotic surgery. We conceptualise and demonstrate the use of non-linear Task-Technology Fit (TTF) predictive modelling to empirically assess this futuristic use case, and in doing so, provide a novel QoE/QoT perspective of future B5G communication networks.

Paper Citation

in Harvard Style

Gatara M., Mzyece M. and Parekattil S. (2024). The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 112-122. DOI: 10.5220/0012384400003657

in Bibtex Style

@conference{healthinf24,
author={Maradona Gatara and Mjumo Mzyece and Sijo Parekattil},
title={The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={112-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012384400003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications
SN - 978-989-758-688-0
AU - Gatara M.
AU - Mzyece M.
AU - Parekattil S.
PY - 2024
SP - 112
EP - 122
DO - 10.5220/0012384400003657
PB - SciTePress