Evaluating context-aware user interface migration in multi-device environments

Ghiani, Giuseppe; Polet, Jussi; Antila, Ville; Mäntyjärvi, Jani

doi:10.1007/s12652-013-0214-7

Cited by 11 publications

(4 citation statements)

References 16 publications

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“…First, depending on the available devices in the network we cannot know in advance the device on which the application is going to run. Second, with the migration service [20] provided in a multi-screen platform, an application can move seamlessly from one device to another. This requires maintaining or adapting the layout to the new target device.…”

Section: Adaptive Web Applications and Responsive Web Designmentioning

confidence: 99%

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A multi-screen refactoring system for video-centric web applications

Sarkis

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Dufourd

2017

Multimed Tools Appl

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The ubiquity of web applications and the user possession and utilization of multiple devices are major factors for the increased demand for multi-screen applications. Multi-screen applications impose challenges on the application developer and designer especially if existing single-screen applications have to be transformed to the multiscreen environment. Designers should plan the user interface distribution and should adapt the layout for various devices. Developers should reorganize the application logic and associate it to the distributed user interface. They should preserve the application functionality and nally they need to adapt it to the underlying multiscreen platform. In this work, we propose an end-to-end refactoring system. The system allows the re-use of existing single-screen applications to automatically create multi-screen applications. The components of the multi-screen applications have their layout adapted to small and large device and they are ready to operate synchronously to provide a complementary usage experience. Our system is quantitatively evaluated on dierent sets of applications containing at least one video element and interactive content. The content division of our system corresponds to a ground truth division with an average recall of 0.84. In addition, our layout refactoring approach obtains 60% accuracy on the tested applications. In addition, we evaluate the performance of the run-time behavior of one application and we compute the delays that are caused by our system and by the network in a real physical environment: with a total delay of 5 ms, our solution is realistic.

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Section: Adaptive Web Applications and Responsive Web Designmentioning

confidence: 99%

“…The shared context has to be up-to-date to ensure the correct functioning of the application. 20 Element-queries, https://github.com/marcj/css-element-queries…”

Section: State Persistence For Multi-screenmentioning

confidence: 99%

A multi-screen refactoring system for video-centric web applications

Sarkis

Concolato

Dufourd

2017

Multimed Tools Appl

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“…It becomes a necessity phase to enhance the user's satisfaction. Different works (Baldwin and Chai, 2012;Ghiani et al, 2015) have underlined the difficulties and the importance of this task. According to (Forrester, 2011), recent mobile researches show that developers neglected the mobile user interface quality aspect like aesthetic.…”

Section: Introductionmentioning

confidence: 99%

On the Impact of the User Context Criteria in the Detection of Mobile User Interfaces Defects

2022

Proceedings of the 16th International Conference on Interfaces and Human Computer Interaction 2022 and 15th International Confe

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The evaluation of the mobile user interfaces remains one of the most challenging issues in order to improve the interaction between the user and the mobile applications. In this context, many methods and tools have been proposed to evaluate the quality of Graphical Mobile User Interface (GMUI), like heuristic evaluation and field-testing. However, these available techniques tend to be time consuming and error-prone. An evident solution is to define a set of rules as a combination of metrics quality, context criteria and a list of possible defect types. In fact, the preferences of users are different and heterogeneous. Indeed, the users don't have the same profiles and to satisfy all users' preferences, we can highly decrease the accuracy of the detection rules. In this paper, we consider the generation of the GMUI quality evaluation rules as a multi-objective problem where the goal is to find the best rules maximizing the number of detected aesthetic quality issues and minimizing the complexity of the rules. In addition, we studied the impact of the context criteria in the detection of mobile user defects by applying same feature selection techniques in order to select the most pertinent features of context criteria and to increase the detection rules process.

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“…Various studies [25,51,19,36,86] have focused on the optimization of User Interface (UI) quality mainly by identifying aesthetic design defects. These defects are violations of the structural design principles, defined in the literature [54,30,12,83,11].…”

Section: Introductionmentioning

confidence: 99%

Assessing the quality of mobile graphical user interfaces using multi-objective optimization

et al. 2019

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Aesthetic defects are a violation of quality attributes that are symptoms of bad interface design programming decisions. They lead to deteriorating the perceived usability of mobile user interfaces and negatively impact the Users eXperience (UX) with the mobile app. Most existing studies relied on a subjective evaluation of aesthetic defects depending on end-users feedback, which makes the manual evaluation of mobile user interfaces human-centric, time-consuming, and error-prone. Therefore, recent studies have dedicated their effort to focus on the definition of mathematical formulas that each targets a specific structural quality of the interface. As the UX is tightly dependent on the user profile, the combination and calibration of quality attributes, formulas, and users characteristics, when defining a defect, is not straightforward. In this context, we propose a fully automated framework which combines literature quality attributes with the users profile to identify aesthetic defects of MUI. More precisely, we consider the mobile user interface evaluation as a multi-objective optimization problem where the goal is to maximize the number of detected violations while minimizing the detection complexity of detection rules and enhancing the interfaces overall quality in means

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Evaluating context-aware user interface migration in multi-device environments

Cited by 11 publications

References 16 publications

A multi-screen refactoring system for video-centric web applications

A multi-screen refactoring system for video-centric web applications

On the Impact of the User Context Criteria in the Detection of Mobile User Interfaces Defects

Assessing the quality of mobile graphical user interfaces using multi-objective optimization

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