SCoPE: Service Composition and Personalization Environment

Current demographic trends suggest that people are living longer, while the ageing process entails many necessities calling for care services tailored to the individual senior’s needs and life style. Personalized provision of care services usually involves a number of stakeholders, including relativ...

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Bibliographic Details
Published in:Applied sciences 2018-11, Vol.8 (11), p.2297
Main Authors: Baldissera, Thais A., Camarinha-Matos, Luis M.
Format: Article
Language:English
Subjects:
Aging
Algorithms
Automation
Collaboration
collaborative business services
collaborative environment
Composition
Computer science
Customization
Demographics
Ecosystems
Feasibility studies
Fuzzy sets
Geriatrics
ICT and aging
Internet of Things
Internet service providers
Older people
Research methodology
service personalization and composition
Software services
Support systems
Taxonomy
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Summary:Current demographic trends suggest that people are living longer, while the ageing process entails many necessities calling for care services tailored to the individual senior’s needs and life style. Personalized provision of care services usually involves a number of stakeholders, including relatives, friends, caregivers, professional assistance organizations, enterprises, and other support entities. Traditional Information and Communication Technology (ICT) based care and assistance services for the elderly have been mainly focused on the development of isolated and generic services, considering a single service provider, and excessively featuring a techno-centric approach. In contrast, advances on collaborative networks for elderly care suggest the integration of services from multiple providers, encouraging collaboration as a way to provide better personalized services. This approach requires a support system to manage the personalization process and allow ranking the {service, provider} pairs. In accordance with these requirements, an Elderly Care Ecosystem (ECE) framework and a Service Composition and Personalization Environment (SCoPE) are proposed. ECE provides the context for the personalization method which is based on the match between a taxonomy of care needs and the {service, provider} pairs, and the calculation of a service adherence index to identify suitable services and corresponding providers. To demonstrate the feasibility and applicability of SCoPE, a number of methods and algorithms are presented. Furthermore, an illustrative scenario is introduced in which {service, provider} pairs are ranked based on multidimensional assessment method and composition strategies are based on customer’s profile and requirements.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8112297