Location Based Services should deliver pertinent information to the user at the right place and at the right time. Such is the range of available content, that it must be filtered and prioritised according to the user's context to reduce wait time and eliminate the delivery of unwanted information. Whiie some contextual information can be inferred from the device sensors, such as location and time, a deeper understanding of the user's context can be inferred by combing these sources with an implicit interpretation of the user's actions. This paper proposes an experiment to compare the user's actions in a real world environment to his actions in an identical virtual world, enabling accurate contextual inferences to be made. The real world study allows an analysis of real movements, which can be correlated with movements in the virtual world, with a greater potential for additional psychological analysis as part of the virtual world.