An MDE Approach for User Interface Adaptation to the Context of Use

International audience With the advent of new media and the delivery of recent means of communication, associated with the progress of networks, the circumstances of software use, as well as the skills and the preferences of the users who exploit them, are constantly varying. The adaptation of the U...

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Bibliographic Details
Main Authors: Bouchelligua, Wided, Mahfoudhi, Adel, Benammar, Lassaad, Rebai, Sirine, Abed, Mourad
Other Authors: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS), ENIS, CES, Université de Sfax - University of Sfax, Regina Bernhaupt; Peter Forbrig; Jan Gulliksen; Marta Lárusdóttir
Format: Conference Object
Language:English
Published: HAL CCSD 2010
Subjects:
User Interface
Adaptation
Context of use
Model Driven Engineering
adaptation rules
[INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]
Iceland
Online Access:https://inria.hal.science/hal-01055196
https://inria.hal.science/hal-01055196/document
https://inria.hal.science/hal-01055196/file/p42_17.pdf
https://doi.org/10.1007/978-3-642-16488-0_6
Description
Summary:International audience With the advent of new media and the delivery of recent means of communication, associated with the progress of networks, the circumstances of software use, as well as the skills and the preferences of the users who exploit them, are constantly varying. The adaptation of the User Interface (UI) has become a necessity due to the variety of the contexts of use. In this paper, we propose an approach based on models for the generation of adaptive UI. To reach this objective, we have made use of parameterized transformation principle in the framework of the Model Driven Engineering (MDE) for the transformation of the abstract interface into a concrete interface. The parameter of this transformation plays the role of the context of use. The paper develops two parts: meta-models for every constituent of the context of use and the adaptation rules.

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