Authors:
Maradona Gatara
1
;
Mjumo Mzyece
2
and
Sijo Parekattil
3
;
4
Affiliations:
1
Independent Researcher, South Africa
;
2
Business & Economics Department, Northwestern College, Orange City, Iowa, U.S.A.
;
3
College of Medicine, University of Central Florida, Florida, U.S.A.
;
4
Avant Concierge Urology, Winter Garden, Florida, U.S.A.
Keyword(s):
Beyond 5G (B5G), Task-Technology Fit (TTF), Predictive Modelling, Haptic-Enabled Internet of Skills (IoS), Remote-Robotic Surgery Applications, Human-in-the-Loop (HITL), Minimally Invasive Surgery (MIS), Health Informatics.
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.
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