Opportunistic Composition of Human-Computer Interactions in Ambient Spaces

Abstract : We propose an approach based on Adaptive Multi-Agent Systems, using the principles of Meta-User Interfaces and Opportunism in order to solve Human-Computer Interaction Composition in Ambient interactive spaces. The idea of this approach is to see every component as an agent able to interact with other components to compose autonomously in order to opportunistically suggest to users smart compositions of his interactive ambient environment. We present the notions of component, composition, and human-computer interaction composition. We chose mainly two aspects of the composition of human-computer interaction which are the controllability and finality of the composition. Finally, we illustrate our approach with use cases taken from the neoCampus project.
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Communication dans un congrès
Workshop on Smart and Sustainable City, Jul 2016, Toulouse, France
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https://hal.archives-ouvertes.fr/hal-01342921
Contributeur : Stéphane Lavirotte <>
Soumis le : jeudi 7 juillet 2016 - 09:45:12
Dernière modification le : mercredi 13 juillet 2016 - 01:02:46
Document(s) archivé(s) le : samedi 8 octobre 2016 - 10:50:14

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Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

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  • HAL Id : hal-01342921, version 1

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Augustin Degas, Jean-Paul Arcangeli, Sylvie Trouilhet, Gaëlle Calvary, Joëlle Coutaz, et al.. Opportunistic Composition of Human-Computer Interactions in Ambient Spaces. Workshop on Smart and Sustainable City, Jul 2016, Toulouse, France. <hal-01342921>

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