Managing preference profiles in multi-user intelligent environments

Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150 and Muñoz, Andrés (2020) Managing preference profiles in multi-user intelligent environments. Iglesias, Carlos A., Novella, Jose Ignacio Moreno, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru, eds. Intelligent Environments 2020: Workshop Proceedings of the 16th International Conference on Intelligent Environments. In: 4th International Workshop on Citizen-Centric Smart Cities Services (CCSCS 2020), 22-23 Jun 2020, Madrid, Spain. ISBN 9781643680903, e-ISBN 9781643680910. ISSN 1875-4163 [Conference or Workshop Item] (doi:10.3233/AISE200044)

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Abstract

Development of Intelligent Environments have been so far mostly ad-hoc and here we investigate one fundamental bottleneck which needs to be addressed to facilitate more effective developments in the future: handling of user preferences in a multiple user environment. This paper analyzes some cases which combine different approaches to manage users preferences combining services at higher and lower levels with user-led and environment-led approaches. We assess some practical pros and cons in each of these combinations as well as some more fundamental building blocks which developers need to reflect on from a scientific point of view before embarking on the engineering of these systems.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Series:Ambient Intelligence and Smart Environments, Volume: 28
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 30287
Notes on copyright: Intelligent Environments 2020, C.A. Iglesias et al. (Eds.)
© 2020 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE200044
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Depositing User: Juan Augusto
Date Deposited: 04 Jun 2020 10:40
Last Modified: 06 Aug 2020 10:12
URI: https://eprints.mdx.ac.uk/id/eprint/30287

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