Automatic Assembly of Adaptive User-Interfaces via Dynamic Discovery and Deployment of Profile Providers, Decision Makers and Component Repositories

نویسنده

  • Effie Karuzaki
چکیده

In this thesis, we focus on automatic coarse-grained composition of adaptive user interfaces relying on task trees. To achieve this goal we collect multiple user and context profiles from independent providers, and supply consolidated profiles to independent decision makers (DMs) according to their own profile models. Each DM chooses the best-fit component for a given task according to the supplied user and context profile. To enable an unambiguous naming scheme for components across repositories we propose the notion of globally unique task identifiers. Selected components are downloaded from the repositories and are assembled into the finally delivered user interface.

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تاریخ انتشار 2014