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Mobile or cellular phones can record various types of context data related to a user's phone call activities. In this paper, we present an approach to discovering individualized behavior rules for mobile users from their phone call records, based on the temporal context in which a user accepts, rejects or misses a call. One of the determinants of an individual's phone behavior is the various activities...
The commonly used phone communication is designed on the assumption that caller actively telephones callee without any knowledge of callee's situation. Along with the development of computing and sensor technology, context information of user can be sensed, inferred from pervasive environment. Caller can determine in what situation callee locates with context information of callee. Some research work...
This paper presents a ringtone recommendation agent system which utilizes user's emotion to recommend an appropriate ringtone and the suitable volume level of a mobile phone. The system uses a Bayesian network (BN) to infer user's emotion and the volume level at the current situation. After inferring user's emotion, a ringtone is selected from the pool of various kinds of genres of ringtones. Also,...
In this paper, we describe the design and implementation of a location and situation based pervasive mobile adventure game named Sportix. The prototype uses different kinds of sensor data - including 3D acceleration data and XPS - to determine the current position and activity of the player. Depending on the firm classification, data and quests are retrieved accordingly from a central information...
In our daily life we frequently use mobile devices to interact with the people and things on the Internet. However, finding the right things when needed is getting difficult and frustrating. In this paper, we introduce a relatively new problem of non-collaborative personal interest mining using contexts and ratings available for items of interest. We present multi-step algorithms to extract personal...
Inference of high-level context is becoming crucial in development of context-aware applications. An example is social context inference - i.e., deriving social relations based upon the user's daily communication with other people. The efficiency of this mechanism mainly depends on the method(s) used to draw inferences based on existing evidence and sample information, such as a training data. Our...
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