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Services Personalization Approach for a Collaborative Care Ecosystem

  • Thais Andrea BaldisseraEmail author
  • Luis M. Camarinha-Matos
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)

Abstract

Ageing entails several limitations, calling for assistance services adapted to particular elderly’s needs and life style. Provision of such may involve many stakeholders, including relatives, caregivers, professional care people, suppliers and other support entities. The use of collaborative networks has been proposed as a mean of integrating contributions from distinct service providers and promoting collaboration to seek the best options among multiple services. Despite of advances in collaborative networks for elderly care, current research and development in care services are chiefly focused on the development of isolated services, considering only a single service provider, emphasizing excessively techno-centric solutions. The need for dealing with personalization of care services in a collaborative environment is rising in importance and, thus, requires a flexible way to guide the process of ranking and selecting services. In this paper, a method based on fuzzy logic to identify services and corresponding providers thought service adherence criteria is presented. To show the feasibility of the method, an illustrative scenario of elderly life style in which services are ranked based on multiple views, from single to composite services, to show how distinct integrations may result in different recommendations.

Keywords

Collaborative business services ICT and ageing Collaborative networks Personalization Fuzzy logic 

Notes

Acknowledgments

This work has been funded in part by the Center of Technology and Systems and the Portuguese FCT-PEST program UID/EEA/00066/2013, and by the Ciência Sem Fronteiras and Erasmus Mundi project (Brazil and European Commission).

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Thais Andrea Baldissera
    • 1
    Email author
  • Luis M. Camarinha-Matos
    • 1
  1. 1.Faculty of Science and Technology and Uninova-CTS, Universidade NOVA de LisboaCampus de CaparicaPortugal

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