Paving the way to collaborative context-aware mobile applications: a case study on preventing worsening of allergy symptoms (Summary)

  1. Pablo Caballero Torres 1
  2. Guadalupe Ortiz 1
  3. Alfonso García de Prado 1
  4. Juan Boubeta-Puig 1
  1. 1 UCASE Software Engineering Group. Universidad de Cádiz - Spain
Actas:
XVII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2022)

Editorial: SISTEDES

Año de publicación: 2022

Páginas: 1-1

Tipo: Aportación congreso

Resumen

In recent years, the evolution of smartphones and their software applications has grown exponentially; together with the advance of the Internet of Things and smart cities, it has raised huge demand for services and applications in these domains. Although the wide range of mobile applications is unquestionable, citizens already demand that applications adapt to their specific needs and situations in real time, that is, that they are context-aware. However, context-aware mobile applications are often very limited and miss out on the opportunity of benefiting from feedback provided by citizen collaboration. In order to fill this gap, this paper proposes a context-aware and collaborative software architecture and mobile application. In particular, we have implemented them in the scope of e-health, more specifically in the area of seasonal allergies, which cause allergic people to experience annoying symptoms that could be avoided by having access to pollen information in real time. Furthermore, they will also benefit from citizen collaboration through the knowledge of the symptoms other allergic people with the same allergy and in the same location are experiencing. To this end, users will be able to provide their symptoms at any time through their mobile application and the proposed architecture will constantly process that information in real time, sending notifications to users as soon as reported symptoms are seen to exceed a certain threshold. The architecture’s performance, the application’s resource consumption and a satisfaction survey of the app’s usability and usefulness have been tested; all results have been fully satisfactory.