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People can now receive custom-made information through smartphones, tablets or wearable devices. However, people often tend to miss vital information, even reminders, in the flood of notifications. The problem of finding convenient moments for need-to-know information should be investigated. Because each person's message awareness pattern on a smart medium might be different, the necessity of personalized...
In recent years, an innovative approach to learning has been developed to construct a context-aware mobile learning platform based on situated learning. In this study, we utilized NFC-enabled smartphones with context-aware technology to propose a Context-Aware Mobile JApanese conversation Learning system (CAMJAL) for non-native learners. Our proposed system implemented and recorded learning behaviors...
Automatic track and prediction of consumer behaviors involve huge commercial interests and have been studied extensively in the past. We have seen very successful application of such techniques on online consuming behaviors. However, it is still very challenging to predict consumer behaviors in physical stores, because many operations in the middle are not digitized. As smartphones are becoming indispensible...
The market of smartphones has been exploding, and taking pictures is a basic, maybe one of the most important functions of a smartphone. In this paper we address the problem of managing a large amount of mobile photos by automatically tagging the photos, so they can be easily browsed or searched later. Unlike other content-based photo tagging approaches, this paper's main contribution is to explore...
We examine the performance of the Fast Map algorithm when applied on mobile devices for context dimensionality reduction. Our results show that this algorithm is extremely fast and is appropriate for mobile context datasets that need to be processed in real time. This fact supports our vision for context-driven interfaces generated by applying the method of mobile context dimensionality reduction...
We present our ongoing work on user data and contextual privacy preservation in mobile devices through semantic reasoning. Recent advances in context modeling, tracking and collaborative localization have led to the emergence of a new class of smart phone applications that can access and share embedded sensor data. Unfortunately, this also means significant amount of user context information is now...
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