TY - GEN
T1 - Services Evolution in Elderly Care Ecosystems
AU - Baldissera, Thais A.
AU - Camarinha-Matos, Luis M.
N1 - This work has been funded in part by the Center of Technology and Systems (CTS – Uninova) and the Portuguese FCT-PEST program UID/EEA/00066/2013, and by the Ciência Sem Fronteiras Program and Instituto Federal Farroupilha (Brazil).
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The aging process typically requires personalized care services for each individual. In this context, a collaborative elderly care ecosystem can support the provision of integrated services that may combine contributions from multiple providers. Through composition of services a personalized solution, tailored to the individual customer, respecting her/his requests, preferences, lifestyle, and constraints, can be achieved. 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, we introduce various cases of evolution of elderly care services in response to new requirements. The method considers customer’s inputs and suggests evolution plans based on the MAPE-K methodology. An application example is then introduced to illustrate the approach.
AB - The aging process typically requires personalized care services for each individual. In this context, a collaborative elderly care ecosystem can support the provision of integrated services that may combine contributions from multiple providers. Through composition of services a personalized solution, tailored to the individual customer, respecting her/his requests, preferences, lifestyle, and constraints, can be achieved. 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, we introduce various cases of evolution of elderly care services in response to new requirements. The method considers customer’s inputs and suggests evolution plans based on the MAPE-K methodology. An application example is then introduced to illustrate the approach.
KW - Collaborative networks
KW - Elderly care ecosystem
KW - Service Composition and Personalization
KW - Service evolution
UR - http://www.scopus.com/inward/record.url?scp=85053756171&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99127-6_36
DO - 10.1007/978-3-319-99127-6_36
M3 - Conference contribution
AN - SCOPUS:85053756171
SN - 978-3-319-99126-9
T3 - IFIP Advances in Information and Communication Technology
SP - 417
EP - 429
BT - Collaborative Networks of Cognitive Systems - 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Proceedings
A2 - Afsarmanesh, Hamideh
A2 - Rezgui, Yacine
A2 - Camarinha-Matos, Luis M.
PB - Springer New York LLC
CY - Cham
T2 - 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018
Y2 - 17 September 2018 through 19 September 2018
ER -