Caring, Sharing Widgets: A Toolkit of Sensitive Widgets

Crease, Murray; Brewster, Stephen; Gray, Peter J.

doi:10.1007/978-1-4471-0515-2_17

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…are completely dismissed. Subsequent efforts, such as [8] its ancestor [9] and [10], share similar grounds though adopting a slightly different perspective.…”

Section: A Early Efforts In Toolkit-based Approachesmentioning

confidence: 87%

Model-Based Engineering of Multi-platform, Synchronous and Collaborative UIs - Extending UsiXML for Polymorphic User Interface Specification

Vellis

Kotsalis

Akoumianakis

et al. 2012

2012 16th Panhellenic Conference on Informatics

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The paper describes an engineering method for building user interfaces for ubiquitous environments. The method comprises of several extensions in the UsiXML family of modes as well as design and runtime support so as to enable multi-platform, synchronous and collaborative interactions. We demonstrate key concepts of the method and their application by elaborating a scenario of collaborative co-play of the 'tic-tac-toe' game. The specific use case features synchronous co-engagement in game play by remote users (players or observers) using desktop PCs or Android devices.

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“…are completely dismissed. Subsequent efforts, such as [8] its ancestor [9] and [10], share similar grounds though adopting a slightly different perspective.…”

Section: A Early Efforts In Toolkit-based Approachesmentioning

confidence: 87%

Model-Based Engineering of Multi-platform, Synchronous and Collaborative UIs - Extending UsiXML for Polymorphic User Interface Specification

Vellis

Kotsalis

Akoumianakis

et al. 2012

2012 16th Panhellenic Conference on Informatics

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“…The caring, sharing widgets are presented as part of a toolkit that offers widgets with multiple built-in output modalities that can be swapped based on different aspects such as: screen size, processing power, etc. [Crease et al 2000]. A system called Fruit also focuses on multi-modality to support the needs of users with disabilities and those operating in special environments [Kawai et al 1996].…”

Section: Window Managers and Widget Toolkits 22mentioning

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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“…For instance, the affecting parameters in the domain of e-learning systems are different from those of automation systems. Many solutions regarding the capturing and representing the CoU have been proposed [9,10]. However, there are no uniform and generic solution for reflecting the dynamic changes of CoU onto the UI [8].…”

Section: Survey On Usability Issues and Existing Solutions In The Dommentioning

confidence: 99%

Adaptive Human-Machine-Interface of Automation Systems

Motlagh

Greil

2014

Technological Innovation for Collective Awareness Systems

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Part 7: Human-Computer InterfacesInternational audienceAutomation systems are inseparable part of everyday life; heating systems, ticket vending machines or blood glucose meters are few examples of such systems, showing the diversity of their application domain. This diversity implies the variety of different user groups with assorted capabilities interacting with such systems in different contexts. Hence, the requirements of the human-machine interfaces of such systems are strongly varying, depending on the context of use. Attempts in developing high interactive systems, such as user centered development or universal design have failed; either they are costly or system specific. Furthermore, many context-relevant aspects are only known at run-time. In this paper, we propose a generic concept, which adapts the human-machine interfaces of automation systems at run-time, according to the context of use. It addresses not only the representational aspects but also the semantics and the connection to the underlying technical system. The concept is implemented as an evaluating prototype

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Caring, Sharing Widgets: A Toolkit of Sensitive Widgets

Cited by 8 publications

References 15 publications

Model-Based Engineering of Multi-platform, Synchronous and Collaborative UIs - Extending UsiXML for Polymorphic User Interface Specification

Model-Based Engineering of Multi-platform, Synchronous and Collaborative UIs - Extending UsiXML for Polymorphic User Interface Specification

Adaptive Model-Driven User Interface Development Systems

Adaptive Human-Machine-Interface of Automation Systems

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