Evolutionary and Adaptive Elderly Care Ecosystem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Personalized care services for each individual are typically required in the aging process. Considering this domain, a collaborative elderly care ecosystem (ECE) is proposed to support the provision of composite services that may combine contributions from multiple service providers. A personalized solution is built through of services composition, tailored to the individual customer (senior), respecting her/his requirements, preferences, lifestyle, and constraints. An additional issue the ecosystem must deal with is the problem of evolution, as individual’s care needs are not static over time. Consequently, the care services need to evolve accordingly to keep the elderly’s requirements satisfied. This process of services’ adaptation is challenging since many services can be dependent on each other, and there are various constraints that need to be observed before adaptating and enacting new services. In this paper, we exploit socio-technical aspects of service adaptation in the context of elderly care ecosystems. Starting with a service personalization method previously proposed (SCoPE method), we presented an adaptive and evolutionary system (SEvol) based on the MAPE-K methodology. The SEvol method considers customer’s inputs and suggests evolution plans. In the end, a workflow diagram is presented considering the main processes of ECE demonstrating the roles of the ECE environments and the main stakeholders, according to three stages: preparation, execution and monitoring phase.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2019 - 19th International Conference, 2019, Proceedings
EditorsSanjay Misra, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Vladimir Korkhov, Carmelo Torre, Eufemia Tarantino, Ana Maria A.C. Rocha, David Taniar, Bernady O. Apduhan
PublisherSpringer Verlag
Pages290-305
Number of pages16
ISBN (Print)9783030243074
DOIs
Publication statusPublished - 1 Jul 2019
Event19th International Conference on Computational Science and Its Applications, ICCSA 2019 - Saint Petersburg, Russian Federation
Duration: 1 Jul 20194 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Volume11623 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computational Science and Its Applications, ICCSA 2019
CountryRussian Federation
CitySaint Petersburg
Period1/07/194/07/19

Keywords

  • Collaborative Networks
  • Elderly Care Ecosystem
  • Service Composition and Personalization
  • Service Evolution

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