Improving modularity and usability of interactive systems with Malai

Blouin, Arnaud; Beaudoux, Olivier

doi:10.1145/1822018.1822037

Cited by 24 publications

(37 citation statements)

References 28 publications

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“…The work presented in this paper is based on Malai, an architectural model for interactive systems [4]. In Malai a UI is composed of presentations and instruments (see Figure 1).…”

Section: The Malai Architecturementioning

confidence: 99%

“…Although these works tackle system adaptation at runtime, they do not focus on the dynamic adaptation of UIs. Thus, we mixed these works with Malai, a modular architecture for interactive systems [4], to bring complex and dynamic user interface adaptations under control. We have applied our approach to EnTiMid, a middleware for home automation.…”

Section: Introductionmentioning

confidence: 99%

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

Blouin

Morin

Beaudoux

et al. 2011

Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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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 property-based reasoning to tame complex and dynamic user interfaces. At runtime and in a limited time-slot, this combination enables efficient reasoning on the current context and on the available user interface components to provide a well suited adaptation. The proposed approach has been evaluated through EnTiMid, a middleware for home automation.

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“…The work presented in this paper is based on Malai, an architectural model for interactive systems [4]. In Malai a UI is composed of presentations and instruments (see Figure 1).…”

Section: The Malai Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Blouin

Morin

Beaudoux

et al. 2011

Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Malai is an architectural model for interactive systems [Blouin and Beaudoux 2010] and forms a basis for a technique that uses aspect-oriented modeling (AOM) for adapting user interfaces [Blouin et al 2011]. The extensibility of adaptive behavior is poor since multiple presentations have to be defined at design-time by the developer, to be later switched at runtime.…”

Section: Reference Architectures For Adaptive User Interfacesmentioning

confidence: 99%

Adaptive Model-Driven User Interface Development Systems

2014

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Adaptive user interfaces (UIs) were introduced to address some of the usability problems that plague many software applications. Model-driven engineering formed the basis for most of the systems targeting the development of such UIs. An overview of these systems is presented and a set of criteria is established to evaluate the strengths and shortcomings of the state-of-the-art, which is categorized under architectures, techniques, and tools. A summary of the evaluation is presented in tables that visually illustrate the fulfillment of each criterion by each system. The evaluation identified several gaps in the existing art and highlighted the areas of promising improvement. The user interface (UI) layer is considered one of the key components of software applications since it connects their end-users to the functionality. Well-engineered and robust software applications could eventually fail to be adopted due to a weak UI layer. Some user interface development techniques such as: universal design [Mace et al. 1990], inclusive design [Keates et al. 2000], and design for all [Stephanidis 1997] promote the concept of making one UI design fit as many people as possible. Yet, a UI is not independent from its context-of-use, which is defined in terms of the user, platform, and environment [Calvary et al. 2003]. The "one design fits all" approach is unable to accommodate all the cases of variability in the context-of-use, in many cases leading to a diminished user experience. Building multiple UIs for the same functionality due to context variability is difficult since the scope of variability cannot be completely known at design-time and there is a high cost incurred by manually developing multiple versions of the UI. Adaptive UIs have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. User interfaces capable of adapting to their context-of-use are also referred to as multi-context or multi-target [Fonseca 2010]. A key goal behind adaptive UIs is plasticity denoting a UI's ability to preserve its usability across multiple contexts-of-use [Coutaz 2010]. Norcio and Stanley [1989] consider that the idea of an adaptive UI is straightforward since it simply means that: "The interface should adapt to the user; rather than the user adapting to the system" (p. 399) but they note that in spite of the simplicity of the definition, there are some difficult and complex problems relating to adaptive UIs. In our study of the literature, we noticed that some of these problems are technical and are related to devising systems that can support the development of adaptive UIs, while others are related to human factors such as the end-user acceptance of these UIs. Realizing the abstract properties illustrated in Fig. 1, could help in handling some of the technical and human problems related to adaptive UIs. Salehie and Tahvildari [2009] present a hierarchy of adaptability properties for software systems, referred to as self-* properties. This hierarchy demon...

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“…[25] proposed an architecture for devising adaptive smart environment UIs, which was only applied to the development of new prototype systems. Malai was presented as an architectural model for interactive systems [8]. In Malai, developers have to define several code-based presentations for the same UI at design-time.…”

Section: Architecturesmentioning

confidence: 99%

Integrating adaptive user interface capabilities in enterprise applications

Akiki

Bandara

2014

Proceedings of the 36th International Conference on Software Engineering

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Many existing enterprise applications are at a mature stage in their development and are unable to easily benefit from the usability gains offered by adaptive user interfaces (UIs). Therefore, a method is needed for integrating adaptive UI capabilities into these systems without incurring a high cost or significantly disrupting the way they function. This paper presents a method for integrating adaptive UI behavior in enterprise applications based on CEDAR, a model-driven, service-oriented, and tool-supported architecture for devising adaptive enterprise application UIs. The proposed integration method is evaluated with a case study, which includes establishing and applying technical metrics to measure several of the method's properties using the open-source enterprise application OFBiz as a test-case. The generality and flexibility of the integration method are also evaluated based on an interview and discussions with practitioners about their real-life projects.

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Improving modularity and usability of interactive systems with Malai

Cited by 24 publications

References 28 publications

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

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

Adaptive Model-Driven User Interface Development Systems

Integrating adaptive user interface capabilities in enterprise applications

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