Engineering Context-Adaptive UIs for Task-Continuous Cross-Channel Applications

Yigitbas, Enes; Sauer, Stefan

doi:10.1007/978-3-319-44902-9_18

Cited by 14 publications

(6 citation statements)

References 27 publications

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“…Furthermore, it ignores the accessibility and usability requirements for diverse user groups such as kids, adults, senior citizens, and technical and nontechnical users. Additionally, the development and design of multiple UIs for user groups that provide various functionalities and features are a time-consuming and challenging task to handle the context variability at the design time [31][32][33]. e subsections discuss the different components, including operating systems, features, and UIs of different smart TVs.…”

Section: Related Workmentioning

confidence: 99%

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Khan

Khusro

Alam

et al. 2022

Scientific Programming

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The user interface (UI) is a primary source of interaction with a device. Since the introduction of graphical user interface (GUI), software engineers and designers have been trying to make user-friendly UIs for various computing devices, including smartphones, tablets, and computers. The modern smart TV also comes with built-in operating systems. However, little attention has been given to this prominent entertainment device, i.e., smart TV. The technological advancement and proliferation of smart TV enabled the manufacturer to provide rich functionalities and features; however, this richness resulted in more clutter and attention-demanding interfaces. Besides, smart TV is a lean-back supporting device having a diverse range of users. Therefore, smart TV’s usability and user experience (UX) are questionable due to diverse user interests and limited features of traditional remote controls. This study aimed to discuss and critically analyze the features and functionalities of the existing well-known smart TV UIs of various operating systems in the context of usability, cognition, and UX. Moreover, this study highlights the issues and challenges in the current smart TV UIs and recommends some research opportunities to cope with the smart TV UIs. This study further reports and validates some overlooked factors affecting smart TV UIs and UX. A subjective study and usability tests from diverse users are presented to validate these factors. The study concludes that a one-size-fits-all UI design is unsuitable for shared devices, i.e., smart TV. This study further recommends a personalized adaptive UI, which may enhance the learnability and UXs of the smart TV viewers.

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Section: Related Workmentioning

confidence: 99%

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Khan

Khusro

Alam

et al. 2022

Scientific Programming

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“…It makes use of an Abstract UI Model and a Domain Model which are then transformed by a code generator (UI Generator) into a Final UI. This development path has been subject of extensive research [28], and we already presented the realization and application of an MDUID approach for different target platforms, e.g., smartphone, desktop, and self-service systems [37,38] based on the OMG standard IFML. The first development path supports efficient development of heterogeneous UIs for different target platforms.…”

Section: Conceptual Solutionmentioning

confidence: 99%

Integrated model-driven development of self-adaptive user interfaces

et al. 2020

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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 contextof-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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“…Yigitbas et al [6] propose an approach to model the interface of the web portal for Business Process Management system through IFML. Particularly, the proposed approach encapsulates the interactions and behavioral concepts for defining a logical model of the user interfaces.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Model Driven Engineering (MDE) tends to simplify the architecture of the system by introducing models that provide different levels of abstraction [5], [6]. According to MDE, different layers of abstractions use various models in order to define a system.…”

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confidence: 99%

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A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

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User Interfaces (UI's) are highly important in this era of web and mobile applications. Therefore, an efficient and accurate development of UI's is desirable in early Software Development Life Cycle (SDLC) phases. To achieve this, Object Management Group (OMG) introduced Interaction Flow Modeling Language (IFML) standard in 2013. IFML provides the modeling of manifold UI's for different applications like mobile, web and desktop. Although IFML is based on Model Driven Engineering (MDE) principle, the development of user interface models from initial requirements is still complex and time consuming task. Particularly, it requires domain expertise to understand several IFML concepts like domain model, view container etc. for the proper modeling of user interfaces. Consequently, there is a strong need of an approach to automate the development of IFML models from initial plain text requirements. This article presents a novel framework to automatically generate IFML models from textual requirements by utilizing the features of Natural Language Processing (NLP). Particularly, a set of NLP rules are developed to extract important IFML elements like View Components, Events etc. from textual requirements. Furthermore, a comprehensive algorithm is developed for the systematic execution of NLP rules in order to generate both IFML Domain and Core models. As a part of research, a sophisticated T ext to IFML (T2IF) tool is developed. The feasibility of proposed framework is demonstrated through movie manager and online bookstore case studies. The evaluation results prove that the proposed framework is capable of generating IFML models from textual requirements with high accuracy.

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Engineering Context-Adaptive UIs for Task-Continuous Cross-Channel Applications

Cited by 14 publications

References 27 publications

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Integrated model-driven development of self-adaptive user interfaces

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

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