Open AccessEstimation of quality of experience (QoE) in e-Health ecosystems
Author(s) -
Veronica Rojas-Mendizabal,
Arturo Serrano-Santoyo,
Roberto Conte-Galván,
Salvador Villarreal-Reyes,
Raúl Rivera-Rodríguez
Publication year - 2017
Publication title -
ingeniería e investigación/ingeniería e investigación
Language(s) - English
Resource type - Journals
eISSN - 2248-8723
pISSN - 0120-5609
DOI - 10.15446/ing.investig.v37n2.57664
Subject(s) - quality of experience , computer science , fuzzy logic , quality (philosophy) , human health , perspective (graphical) , estimation , data science , process management , artificial intelligence , engineering , systems engineering , quality of service , medicine , telecommunications , environmental health , philosophy , epistemology
This article proposes a framework to design and implement e- Health interventions in a comprehensive manner. We draw on complexity science to study the interplay of the ecosystem, the behavior and interactions among its agents. We provide a platform to estimate the Quality of Experience (QoE) to assess the relationship between technology and human factors involved in e-Health projects. Our aim is to estimate QoE in e-Health ecosystems from the perspective of complexity by adopting a methodology that uses fuzzy logic to study the behavior of the ecosystem’s agents. We apply the proposed framework to a remote diagnosis case by means of an ultrasound probe through a satellite link. Despite the ambiguities for determining QoE, the experiment demonstrates the applicability of the framework and allows to stressing the importance of human factors in the implementation of e-Health projects.