John A. Flanagan

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In order to enable proactiveness in applications and services, inferences about likely future contexts are needed. This task, which is often referred to as context prediction, has not been properly addressed in the literature. We define the different components of context awareness from data acquisition to prediction. Some mathematical principles of making(More)
— Recognizing the context of use is important in making mobile devices simple to use. The device and the underlying mobile service can provide a personalized user interface that adapts to the usage situation. The device can infer parts of the context of the user from features extracted from on-board measurements of acceleration, noise level, luminosity,(More)
A proof of self-organization for a general, standard, one-dimensional SOM and a monotonically decreasing neighborhood function such that W < or = N, is given, where N is the total number of neurons and W the width of the neighborhood function. It is the generalization of already existing proofs for two specific cases with W > or = N/2. Lebesgue continuity(More)
Mobile phones are often regarded as difficult to use due to their size restrictions. To improve on this, in this paper we described our approach using unsupervised learning to automate common tasks on a mobile phone, thereby requiring less key presses, by means of context-dependent quick-access shortcuts presented in the homescreen of the phone. We also(More)
Our intuitive understanding of context has been formulated by Dey, as the information describing the situation of an entity. In the case of simple information sources, determining the relevant information describing the situation or context of an entity is straightforward. This is not the case when several information sources can be used, essentially to(More)