Inferring intentions in generic context-aware systems
Christoph Burghardt, Thomas Kirste · 2007
Many context-aware projects try to develop the next step in human computer interaction, systems that adapt to a users need and help him to focus on his specific task. Probabilistic models are used to infer the current activity of a user. These techniques for predicting the actions of a user are often custom-tailored to a fixed location and scenario. We developed a method to generate probabilistic models for different context, therefore broaden their use in different domains of ubiquitous computing. This makes our intention analysis more generic.