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An extension to the design domain of problem frames has been proposed. The proposed extension is intended to cope with the inclusion of lexical design domains that have physical counterparts with the equivalent information. An example of the use of such a physical counterpart is illustrated with a spot service application in patient monitoring.
The popularity of mobile devices and the opportunity to learn regardless of time and place make mobile learning an important method in lifelong learning. However, acceptance of mobile learning by learners is crucial to the success of mobile learning. The objective of this study is to investigate main determinants of mobile learning acceptance in higher education in China. Based on the unified theory...
Exponential growth of media generated in online social networks demands effective recommendation to improve the efficiency of media access especially for mobile users. In particular, content, objective quality or general popularity are less decisive for the prediction of user-click behavior than friendship-conditioned patterns. Existing recommender systems however, rarely consider user behavior in...
Human mobility analysis and modeling is a very interdisciplinary field of research. Mobility models play an important role particularly in assessing the simulative performance of mobile and opportunistic networks. The mobility traces, which most of these models are based on, however, mostly suffer from several shortcomings. In this paper, we use the extensive Lausanne Data Collection Campaign (LDCC)...
Inflammatory Bowel Disease (IBD) is an incurable chronic illness needing ongoing outpatient treatment and support. This paper identifies a number of challenges faced by the various stakeholders of the illness, much of which is rooted in a need for more information on how lifestyle, in a broad sense, impacts the disease and explores the potential to utilise smartphones to address some of the identified...
Mobile applications tend to be used in contexts that change over time. These varying contexts may impact the usability, and potentially the overall user experience, of mobile applications. However, the impact of context from a temporal perspective is not fully considered within usability evaluations. Consequently, this work focuses on a conceptual method that attempts to address this limitation. The...
With a plethora of sensors and ubiquitous access to the Internet, modern smartphones have enabled a broad range of context-based applications. Most applications make use of the user's physical location to filter relevant content. However, filtering based on dynamic contextual information results in high complexity of the filtering process. This limits the applicability of existing publish/subscribe...
Over the last decades, there has been a growing interest to Service Oriented Computing (SOC) especially in a mobile environement. Web Services are the most common form of services for implementing SOC. Service Composition is to create a new business process by composing several services in order to fulfill business goals that individual services cannot achieve. The massive use of web services in the...
The technological revolution has been accompanied with the appearance of mobile systems. Mobile Knowledge Management Systems (KMS) which introduce a new style of managing organizations using mobile devices, are used in different contexts of use. So, a context based evaluation of such systems becomes required. Our contribution consists of enhancing the evaluation of mobile KMS that was previously confined...
Online marketplaces are e-commerce websites where thousands of products are provided by multiple third parties. There are dozens of these differently structured marketplaces that need to be visited by the end users to reach their targets. This searching process consumes a lot of time and effort; moreover it negatively affects the user experience. In this paper, extensive analysis and evaluation of...
Adaptation of the dataset shift has grown to be of great importance in machine learning problems in recent years. Reframing has emerged as a new machine learning technique that adapts the context changes between training and target domains. One of the advantages of reframing is that it can offer good performances with a limited amount of deployment data. Reframing has already been implemented in classification...
With the prevalence of privacy incidents and recurrent leaks, privacy protection has become a concern of users and data protection entities. Previous research in privacy risk prevention has mostly followed the "collect and prevent" philosophy, e.g., by applying anonymization techniques to the user data on the back-end. These approaches neglect the users' right to informational self-determination...
The electronic calendar usually serves as a personal organizer and is a valuable resource for managing daily activities or schedules of the users. Naturally, a calendar provides various contextual information about individual's scheduled events/appointments, e.g., meeting. A number of researchers have utilized such information to predict human behavior for mobile communication, by assuming a predefined...
User modelling is an old research discipline. The main concern of this discipline is to improve the quality of human-computer interaction predictive goals, preferences and context. Thus, adaptation and personalization of a document or an application for a particular user need to have information on the latter. It often referred to as “user profile”. A user profile modelling process must be done in...
Managing the growing influx of notification data being pushed at mobile phone users is an increasing necessity in today's world of social media and ubiquitous computing. The challenge of effectively managing a diverse range of notification types, and analyzing their current context with relation to an individual user, is a difficult task. This paper proposes a notification management framework which...
This paper investigates the development of a classification of features inherent in the design and development of Location Based Experiences (LBEs) with a special focus on games for teaching and learning. The paper aims to identify and associate learning features, such as feedback, activities, outcomes and assessment with location-driven mechanics, such as location-based activities, entities, conditions...
Increased availability of wearable devices, smart phones establishes a platform for designing innovative distributed crowd sourcing mobile applications. These applications can take advantage of computation offloading to augment the constrained resources and unavailability of required context on single mobile device. ContextMete is an offloading architecture that execute such applications across the...
One of the thrusts of mobile and pervasive computing is supporting vision-based perception applications. Vision-based applications, such as augmented reality, are those that help users augment their understanding of the physical world through the camera(s) on their mobile devices. Such applications need to provide a seamless experience and hence require minimal end-to-end latency. However, these applications...
In this paper, we experimentally explore the impact of different teaching paradigms on teaching a large-scale iOS programming MOOC consisting of 30,162 students. Our initial approach utilizes methods from our in-person lecturing experience. After launching the initial version of the course, we analyzed our performance and student feedback based on which we recreated and re-launched the entire course...
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