Visible to the public 5G Network and Haptic-Enabled Internet for Remote Unmanned Aerial Vehicle Applications: A Task-Technology Fit Perspective

Title5G Network and Haptic-Enabled Internet for Remote Unmanned Aerial Vehicle Applications: A Task-Technology Fit Perspective
Publication TypeConference Paper
Year of Publication2021
AuthorsGatara, Maradona C., Mzyece, Mjumo
Conference Name2021 IEEE AFRICON
Keywords5G, 5G mobile communication, compositionality, haptic interfaces, haptics, human factors, Internet, Internet of Skills (IoS), ios, iOS Security, Metrics, pubcrawl, quality of experience, Real-time Systems, Remote-Controlled Unmanned Aerial Vehicles (UAVs), resilience, Resiliency, security, Task-Technology Fit (TTF), user experience
AbstractHaptic communications and 5G networks in conjunction with AI and robotics will augment the human user experience by enabling real-time task performance via the control of objects remotely. This represents a paradigm shift from content delivery-based networks to task-oriented networks for remote skill set delivery. The transmission of user skill sets in remote task performance marks the advent of a haptic-enabled Internet of Skills (IoS), through which the transmission of touch and actuation sensations will be possible. In this proposed research, a conceptual Task-Technology Fit (TTF) model of a haptic-enabled IoS is developed to link human users and haptic-enabled technologies to technology use and task performance between master (control) and remote (controlled) domains to provide a Quality of Experience (QoE) and Quality of Task (QoT) oriented perspective of a Haptic Internet. Future 5G-enabled applications promise the high availability, security, fast reaction speeds, and reliability characteristics required for the transmission of human user skills over large geographical distances. The 5G network and haptic-enabled IoS considered in this research will support a number of critical applications. One such novel scenario in which a TTF of a Haptic Internet can be modelled is the use case of remote-controlled Unmanned Aerial Vehicles (UAVs). This paper is a contribution towards the realization of a 5G network and haptic-enabled QoE-QoT-centric IoS for augmented user task performance. Future empirical results of this research will be useful to understanding the role that varying degrees of a fit between context-specific task and technology characteristics play in influencing the impact of haptic-enabled technology use for real-time immersive remote UAV (drone) control task performance.
DOI10.1109/AFRICON51333.2021.9570925
Citation Keygatara_5g_2021