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Research has shown that when presenting large amounts of social media information on small devices, design should consider multiple contexts which include user preferences, time, location, environment and so on. It should also take into account the purpose of use, for example, the kind of tasks undertaken by users. However, little research has been done on the organization of social media information by multiple context and tasks. The paper aims to discuss these issues.

Using tourism as a domain, the authors conducted a user evaluation study with a prototype to investigate users’ preferred ways of organizing different types of social media information based on multiple contexts.

In this paper, the authors present a sequence of context types for organizing four types of social media information (recommendations, events, friends and media elements). The study revealed that users preferred to view recommendations by location and environment context, events by location and temporal context, contacts by location and identity context and finally, list of media elements by environment and identity context.

There may be different sequences of context types for organizing social media information in domains other than tourism. Researchers are encouraged to analyze users’ needs in other domains so as to find their preferred ways of organizing social media information.

This paper includes implications for the design and development of user interface, in particular, for mobile applications presenting large amount of social media information.

It presents a new way of organizing social media information using multiple context types and with consideration of users’ needs.

The paper aims to resolve three major issues in location-based applications (LBA) known as heterogeneity, user privacy, and context-awareness by proposing an elastic and open design platform named OpenLS privacy-aware middleware (OPM) for LBA.

The paper analyzes relevant approaches ranging from both academia and mobile industry community and insists the importance of heterogeneity, user privacy, and context-awareness towards the development of LBA.

The paper proposes the OPM by design. As a result, the OPM consists of two main component named application middleware and location middleware, which are cooperatively functioned to achieve the above goals. In addition, the paper has given the implementation of the OPM as well as its experiments. It is noted that two privacy-preserving techniques at two different levels are integrated into the OPM, including Memorizing algorithm at the application level and Bob-tree at the database level. Last but not least, the paper shows further discussion about other problems and improvements that might be needed for the OPM.

Each issue has its sub problems that cause more influences to the OPM. Besides, each of the issues requires more investigations in depth in order to have better solutions in detail. Therefore, more overall experiments should be conducted to assure the OPM's scalability and effectiveness.

The paper hopefully promotes and speeds up the development of LBA when providing the OPM with suitable application programming interfaces and conforming the OpenLS standard.

This paper shows its originality towards location-based service (LBS) providers to develop their applications and proposes the OPM as a unified solution dealing with heterogeneity, user privacy, and context-awareness in the world of LBS.

The purpose of this paper is to review the state-of-the-art in adaptive user interface systems by studying their historical development over the past 20 years. Moreover, this paper contributes with a specific model combining three main entities (users, context and devices) that have been demonstrated to be always represented in these environments. Novel concepts that should be taken into account in these systems are also presented.

The authors first provide a review and a comparison of current user interface adaptive systems. Next, the authors detail the most significant models and the set of techniques used to, finally, propose a novel model based on the studied literature.

Literature solutions for adaptive user interface systems tend to be very domain dependant. This situation restricts the possibility of sharing and exporting the information between such systems. Furthermore, the studied approaches barely highlight the dynamism of these models.

The paper is a review of adaptive user interface systems and models. Although there are several reviews in this area, there is a lack of research for modelling users, context and devices simultaneously in this domain. The paper also presents several significant concepts that should be taken into account to bring an adaptive and dynamic perspective to the studied models.

As the center of the fourth industrial revolution, artificial intelligence (AI) has marked its presence in various disciplines including the education field in the form of AI-powered learning applications. The purpose of this study is to build a research model capturing the relationships among use contexts, user gratification, attitude, learning performance and continuous intention to use an AI-powered English learning application.

Using the use and gratification theory, use contexts and the belief-attitude-intention theory, this paper uses a quantitative approach based on a survey method for data collection and structural equation modeling for analysis. A total of 478 students from an international university in Guangdong, China, participated in the survey after using Liulishuo for two weeks.

The results showed that perceived use contexts affected all variables associated with gratifications-obtained and gratification-opportunities. With the exception of social integrativeness, all other gratification-based factors significantly affected attitude. The attitude in turn significantly influenced learning performance and continuous use intention.

Mobile AI-powered learning applications are at the center of research on technology-enhanced learning in the age of media and technology convergence. The study is timely and contributes to the discussion of the roles of use context and gratifications on technology users’ attitudes and behavioral intentions.

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition of the appropriate Web service.

The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one.

In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions.

The author has implemented a Web application that enables selection and composition of the most appropriate composite service.

The purpose of this paper is to propose the use of a user-centric service map to facilitate the visual exploration and monitoring of user context information for proactive market analysis.

The paper supports a context-based market analysis by developing a user-centric service map which comprehensively visualizes a variety of contexts, users, and services. Empirical data were gathered from service descriptions and reviews of 100 mobile application services in the Apple App Store’s lifestyle and healthcare and fitness categories.

The user-centric service map supports the analysis of the context information from using various mobile app services, and can therefore be effectively applied for market-segment analysis and user-value analysis.

The user-centric service map involves implications in terms of multi-disciplinary proactive market orientation and data-driven strategy development, allowing firms to respond to changing market conditions in the mobile business promptly and even preemptively.

The initiative uncovering of latent needs through examining context of use have been an important focus of prior work, but little attempt has been presented in the way of frameworks for converting abundant context data into strategic information. The paper provides new methods and procedures to establish and interpret service maps using flexible visual features.

The rapid advances in the technologies of mobile computing and wireless communications have facilitated the use of applications and services on handheld devices. Sharing of living experience (SOLE) is one such service, through which users can share their experience of daily activities such as shopping, entertainment, and traveling. This paper seeks to study SOLE in more detail.

The paper presents an application framework for a context‐aware SOLE which considers location, preferences, and other useful information for a seamless user experience. SOLE leverages on the service‐oriented middleware, Coalition. Entities of interest are represented as services registered with Coalition, which are organized using location information. This facilitates location‐based selection of entities for associating or retrieving experiences. In addition, Coalition incorporates the contexts of users in the discovery and delivery of experience information. Besides, to cater for resource constraints of mobile devices, the concept of “proxy” is introduced.

A detailed study of SOLE, namely, its design as well as its interaction with the middleware, information providers and information consumers, is provided. As a proof of concept, a prototype of SOLE for mobile phone users is also provided. The experiments show the ease of using SOLE and its acceptable performance in practice.

SOLE is generic and scalable, by not assuming a specific application scenario; flexible, by allowing the user to choose where to store the experience data and to specify his audience; and context‐aware by considering the contexts of the user such as location and preferences in the experience sharing process.

This study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.

The paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.

This paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.

Next‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.

Real instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

Mobile devices have received much research interest in recent years. Mobility raises new issues such as more dynamic context, limited computing resources, and frequent disconnections. A middleware infrastructure for mobile computing must handle all these issues properly. In this project we propose a middleware, called 3DMA, to support mobile computing. We introduce three requirements, distribution, decoupling and decomposition as central issues for mobile middleware. 3DMA uses a space based middleware, which facilitates the implementation of decoupled behavior and support for disconnected operation and context awareness. This is done by defining a set of “workers” which are able to act on the users behalf either: to reduce load on the mobile device, and/or to support disconnected behavior. In order to demonstrate aspects of the middleware architecture we then consider the development of a commonly used mobile application.

Many features constitute an adaptive system such as user model, interface specification, business functionalities and service implementation. Context awareness is an important facet of service oriented application creation dealing with the gathering, use and representation of context information. Generally, user interfaces and services communities work separately on the adaptation process and do not converge. The aim of this work is to manage the system’s functionalities and the user interface that delivers data to the relevant consumer early since the design phase until the code generation.

The authors discuss how a unified method based on a model-driven architecture for adaptive user interface and pervasive service creation eases the work of designers and developers, limits incompatibility issues and supports dynamic generation of systems adapted to different contexts of use.

The proposed approach is able to support a semi-automatic ubiquitous application generation with service, behavior, presentation and content adaptation.

In this paper, the authors tackle context-awareness at two levels: system functionalities and user interface generation. The authors also tackle adaptation at the specification and implementation levels.