On human-in-the-loop CPS in healthcare: a cloud-enabled mobility assistance service

Despite recent advancements on cloud-enabled and human-in-the-loop cyber-physical systems, there is still a lack of understanding of how infrastructure-related quality of service (QoS) issues affect user-perceived quality of experience (QoE). This work presents a pilot experiment over a cloud-enable...

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Autores:
de Mello, Ricardo C.
Jiménez Hernández, Mario Fernando
Ribeiro, Moises R. N.
Guimarães, Rodrigo Laiola
Frizera-Neto, Anselmo
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/3610
Acceso en línea:
http://hdl.handle.net/20.500.12495/3610
https://doi.org/10.1017/S0263574719000079
https://repositorio.unbosque.edu.co
Palabra clave:
Healthcare
Cyber-physical systems
Assistive robotics
Communication networks
Cloud robotics
QoS
QoE
Rights
openAccess
License
Acceso abierto
Description
Summary:Despite recent advancements on cloud-enabled and human-in-the-loop cyber-physical systems, there is still a lack of understanding of how infrastructure-related quality of service (QoS) issues affect user-perceived quality of experience (QoE). This work presents a pilot experiment over a cloud-enabled mobility assistive device providing a guidance service and investigates the relationship between QoS and QoE in such a system. In our pilot experiment, we employed the CloudWalker, a system linking smart walkers and cloud platforms, to physically interact with users. Different QoS conditions were emulated to represent an architecture in which control algorithms are performed remotely. Results point out that users report satisfactory interaction with the system even under unfavorable QoS conditions. We also found statistically significant data linking QoE degradation to poor QoS conditions. We finalize discussing the interplay between QoS requirements, the human-in-the-loop effect, and the perceived QoE in healthcare applications.