Estimation of quality of experience (QoE) in e-Health ecosystems

• Main Authors: Veronica Alexandra Rojas-Mendizabal, Arturo Serrano-Santoyo, Roberto Conte-Galvan, Salvador Villarreal-Reyes, Raul Rivera-Rodriguez
• Format: Article
• Language: English
• Published: Universidad Nacional de Colombia 2017-05-01
• Series: Ingeniería e Investigación
• Subjects: QoE; QoS; complexity science; e-health; fuzzy logic
• Online Access: https://revistas.unal.edu.co/index.php/ingeinv/article/view/57664

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.