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A Tool for Managing Elderly Volunteering Activities in Small Organizations

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AI*IA 2017 Advances in Artificial Intelligence (AI*IA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10640))

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Abstract

This paper describes a pilot application developed by the authors within a project in the area of elders assistance. Specifically, the work addresses the problem of assigning scheduled activities to a set of volunteers by means of an interactive tool that considers both users’ needs/preferences and constraints posed by the organization that manages the volunteers. Particular emphasis is given to the problem of assigning a group of seniors to the “right task” so as to obtain a positive outcome of the services offered by the volunteering association while maximizing the volunteers’ level of satisfaction perceived, in this domain, as a relevant requirement. This paper describes the design of a complete application for supporting this process focusing, in particular, on the back-end functionalities where a formalization as a generic optimization problem and a heuristic, developed to serve the time constants required in the domain, have been integrated. Experimental results, conducted with realistic data, support the particular design of the solution and encourage future work.

Authors work is partially funded by the Active and Assisted Living Joint Program under the SpONSOR project (AAL-2013-6-118 - http://sponsor-aal.eu/).

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Notes

  1. 1.

    http://www.televita.org.

  2. 2.

    We plan to make these problems publicly available to enable their use from others.

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Acknowledgments

Authors would like to thank Sergio Cametti for his enthusiastic participation in the project, for offering us the Televita case and for believing in what we are doing notwithstanding the difficulties of a dialogue between our so different worlds.

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Correspondence to Amedeo Cesta .

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Cesta, A., Cortellessa, G., De Benedictis, R., Fracasso, F. (2017). A Tool for Managing Elderly Volunteering Activities in Small Organizations. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds) AI*IA 2017 Advances in Artificial Intelligence. AI*IA 2017. Lecture Notes in Computer Science(), vol 10640. Springer, Cham. https://doi.org/10.1007/978-3-319-70169-1_34

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  • DOI: https://doi.org/10.1007/978-3-319-70169-1_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-70169-1

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