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) |
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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: | 16 Jun 2023 17:05 |
URI: | https://eprints.mdx.ac.uk/id/eprint/30287 |
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