Modeling User Intention in Pervasive Service Environments

The introduction of pervasive computing environments in everyday life will not just be a big step for users, but also for application designers. The well defined interaction interfaces will make place for other, more intuitive ways of interaction. It is the challenge for a pervasive system middleware to capture and model the user intention in a smart way and to solve ambiguousness in the user’s expression of a pervasive action. This paper introduces the Pervasive Service Action Query Language (PsaQL), a language to formalize the description of a user intention using composed pervasive services. The work describes a way of translating the user intention into an executable action and propose algorithms performing this translation. Considerations to implement this process are given within the scope of PerSE, a pervasive service environment developed by our research group, together with general evaluation metrics for such algorithms.