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

Abstract. 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 con-solidated profiles to independent decision makers (DMs) according to their own profile models. Each DM chooses the best-fit component for a given task ac-cording 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. 1 Introduction & Related Work The term “adaptation ” in computer science refers to changing aspects of an interactive system to best fit individual users, based on their personal information and the context of use. This is very important nowadays as the ever-growing computer market targets an ever-widening set of users with different backgrounds, tastes and needs. Throug