Mobile computing may improve pervasively user experience through context perception. In this paper, we exercise a prediction service for waiting time on service queues using only GPS information and a little user collaboration (“are you on a queue?”) - this combination may be used by the vast majority of current mobile phones, once it does not require sophisticated sensing (such as accelerometers and other stuff). In our proof of concept, we achieve a less than 1 minute predicting error on monitoring a minimarket queue service. There results suggest that our tool may be useful and can be extended for other scenarios based on different classes of service queues.

Over the years some models for multimedia spatio-temporal synchronization has been proposed. In most of these models, a known drawback is that they generally abstract the media content and consider only start and end events content presentation. Thus, it is not possible to specify synchronization relations involving "within" media content events. Highlights in a live TV show are examples of these events. In such cases, it may be expected that highlights "may occur", but it is not possible to determine "when". In order to solve this drawback, this article presents an approach for modeling live Interactive TV shows that support the definition of synchronization constraints related to events not known at authoring time. These events are structured in objects, using an object oriented paradigm, and broadcasted to TV receivers as way to assure the synchronization relations