A framework for distributed interaction in intelligent environments

DiMauro, Dario, Augusto, Juan Carlos ORCID logoORCID: https://orcid.org/0000-0002-0321-9150, Origlia, Antonio and Cutugno, Francesco (2017) A framework for distributed interaction in intelligent environments. Ambient Intelligence. AmI 2017: 13th European Conference, AmI 2017, Malaga, Spain, April 26–28, 2017, Proceedings. In: AmI 2017: 2017 European Conference on Ambient Intelligence, 26-28 Apr 2017, Malaga, Spain. ISBN 9783319569963. ISSN 0302-9743 [Conference or Workshop Item] (doi:10.1007/978-3-319-56997-0_11)

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Ubiquitous computing is extending its applications to an increasing number of domains. "Monolithic" approaches use centralised systems, controlling devices and users' requests. A different solution can be found in works proposing "distributed" intelligent devices that communicate, without a central reasoner, creating little communities to support the user. If the former approach uses all the available sensors being more easily context-aware, the latter is scalable and naturally supports multiple users.
In this work we introduce a model for a distributed network of entities in Intelligent Environments. Each node satisfies users' requests through Natural User Interfaces. If a node cannot produce the expected output, it communicates with others in the network, generating paths where the final target is undetermined and intermediate nodes do not understand the request; this is the focus of our work. The system learns parameters and connections in the initial topology. We tested the system in two scenarios. Our approach finds paths close to the optimum with reasonable connections.

Item Type: Conference or Workshop Item (Keynote)
Additional Information: Published as:Di Mauro D., C. Augusto J., Origlia A., Cutugno F. (2017) A Framework for Distributed Interaction in Intelligent Environments. In: Braun A., Wichert R., Maña A. (eds) Ambient Intelligence. AmI 2017. Lecture Notes in Computer Science, vol 10217. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 21462
Notes on copyright: The final publication is available at Springer via http://doi.org/10.1007/978-3-319-56997-0_11
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Depositing User: Juan Augusto
Date Deposited: 23 Feb 2017 16:39
Last Modified: 29 Nov 2022 20:59
URI: https://eprints.mdx.ac.uk/id/eprint/21462

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