Model Driven RichUbi - A Model-Driven Process to Construct Rich Interfaces for Context-Sensitive Ubiquitous Applications

Cirilo, Carlos E.; Prado, Antonio Francisco do; Souza, Wanderley Lopes de; Zaina, Luciana A. M.

doi:10.1109/sbes.2010.20

Cited by 10 publications

(9 citation statements)

References 25 publications

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“…This is probably due to the fact that the first two sections of the customization interface are more technical and less intuitive for non-expert users. The overall evaluation of the Customization Tool was ~4.42 (scale [1][2][3][4][5]) with a standard deviation of ~0.54.…”

Section: Evaluation Resultsmentioning

confidence: 99%

“…The users' familiarity with the Web Interfaces was, in a range [1][2][3][4][5], on average ~4.4 with a minimum of 2, a maximum of 5 and a standard deviation of ~1.07. The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

“…The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

“…Web applications are widely used and a number of approaches and techniques have been proposed to support their adaptation to mobile devices (e.g. [3], [4]). Little attention, however, has been paid so far on how to adapt Web applications for vocal access.…”

Section: Introductionmentioning

confidence: 99%

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Model-based customizable adaptation of web applications for vocal browsing

Paternò

Sisti

2011

Proceedings of the 29th ACM International Conference on Design of Communication

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In this paper we describe a solution to make Web pages more suitable for vocal browsing by analyzing and modifying their logical structure. The solution exploits intermediate logical descriptions that are automatically created by reverse engineering techniques. The adaptation engine aims to identify the main logical structure of the Web page components and remove the aspects specific to the graphical modality. Then, a vocal implementation is generated to support browsing, which begins by the user's selecting from the main components. It is possible to customize some parameters of the adaptation transformation in order to better control its results.

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Section: Evaluation Resultsmentioning

confidence: 99%

Section: Evaluation Settingmentioning

confidence: 99%

“…The users' familiarity with the vocal interfaces was, in a range [1][2][3][4][5], on average ~2.7 with a minimum of 1, a maximum of 4 and a standard deviation of ~1.42.…”

Section: Evaluation Settingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model-based customizable adaptation of web applications for vocal browsing

Paternò

Sisti

2011

Proceedings of the 29th ACM International Conference on Design of Communication

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“…The Model Driven RichUbi (Cirilo et al, 2010a) is a software process conceived specifically to support the development of adaptive rich interfaces for ubiquitous applications in the field of Web 2.0. Considering the ideas from MB-UID and DSM, in the Model Driven RichUbi the interface modeling is performed from a Rich Interfaces Domain metamodel.…”

Section: Model Driven Richubi Processmentioning

confidence: 99%

Building Adaptive Rich Interfaces for Interactive Ubiquitous Applications

Cirilo¹,

Prado²,

Souza³

et al. 2012

Interactive Multimedia

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Context-Aware Self-adaptations: From Requirements Specification to Code Generation

Ruiz-López

Rodríguez-Domínguez

Rodríguez

et al. 2013

Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction

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Abstract. Embedding context-aware self-adaptation mechanisms in pervasive systems is key to improve their acceptance by the users. These mechanisms involve a precise definition of the software structures that enable adding, removing or replacing components of the system to perform the adaptations. Typically the definition of these mechanisms is a complex and time consuming task. This paper presents a model-driven engineering approach to generate these context-aware self-adaptation mechanisms. The use of models transformations to define these mechanisms helps to reduce the complexity and effort required to define them. In order to illustrate the usefulness of the proposed approach, this paper reports its application to the development of a context-aware notification service.

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Model Driven RichUbi - A Model-Driven Process to Construct Rich Interfaces for Context-Sensitive Ubiquitous Applications

Cited by 10 publications

References 25 publications

Model-based customizable adaptation of web applications for vocal browsing

Model-based customizable adaptation of web applications for vocal browsing

Building Adaptive Rich Interfaces for Interactive Ubiquitous Applications

Context-Aware Self-adaptations: From Requirements Specification to Code Generation

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