Figure 1 - from "Enabling Adaptivity in User Interfaces"

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Fig. 1. Framework Architecture. Stereotypes <<affects>> and <<uses>> are used in some dependency relationships to represent classes whose behavior is monitored or changed by an aspect, or those used as auxiliary classes by an aspect, respectively.

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Fig. 2. Dynamics of the process followed for UI adaptation.

Fig. 3. A) Sample application dialog.B) Component hierarchy.C) Lattice representa- tion of the UI Model ontology extended with the component hierarchy from the dialog. The Adaptation Data Provider produces appropriate corres between user action and UI adaptation. This module enables the pondences system to appropriately process the information which has been previously acquired. In order to represent UI components, the framework uses UI-specific onto domain-specific ontologies for representing the application’s domain. ogies, and Semantic information present in components is used to establish relations between UI and domain-specific ontologies. For the task model, we integrate a tas based on ConcurTaskTrees [16], which is a hierarchical notation which k ontology allows the specification of (sub)tasks or nodes that need to be performed to successfully complete a task.

Juan esteban abril murillo

Enabling Adaptivity in User Interfaces

Abstract: The development of adaptive user interfaces has traditionally been restricted to research prototypes and few commercial products. Although there have been relevant achievements in the architectural support for self-adaptive context-aware systems [3, 19], the notion of context commonly supported is restricted and does not explicitly contemplate the facets of context related to user-application interaction. Furthermore, applications need to comply with the proposed architectures, making the incorporation of adaptivity more difficult (or not possible at all) in the case of already existing applications. This work addresses key issues for the incorporation of self-adaptive behaviour in GUI-Based applications, and proposes an aspect-based framework in order to overcome current limitations.

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Abstract: Abstract Modern user interfaces (UIs) are increasingly expected to be plastic , in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated and hence introduce additional complexity as they represent crosscutting concerns. In this paper, we present an integrated model-driven development approach where a classical model-driven development of UIs is coupled with a model-driven development of context-of-use and UI adaptation rules. We base our approach on the core UI modeling language IFML and introduce new modeling languages for context-of-use ( ContextML ) and UI adaptation rules ( AdaptML ). The generated UI code, based on the IFML model, is coupled with the context and adaptation services, generated from the ContextML and AdaptML model, respectively. The integration of the generated artifacts, namely UI code, context, and adaptation services in an overall rule-based execution environment, enables runtime UI adaptation. The benefit of our approach is demonstrated by two case studies, showing the development of SAUIs for different application scenarios and a usability study which has been conducted to analyze end-user satisfaction of SAUIs.

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Brice Morin, Gregory Nain

Combining aspect-oriented modeling with property-based reasoning to improve user interface adaptation

Abstract: User interface adaptations can be performed at runtime to dynamically reflect any change of context. Complex user interfaces and contexts can lead to the combinatorial explosion of the number of possible adaptations. Thus, dynamic adaptations come across the issue of adapting user interfaces in a reasonable time-slot with limited resources. In this paper, we propose to combine aspect-oriented modeling with

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