Understanding user intentions in Pervasive Computing Environment

The advent of Pervasive Computing Environment (PCE) in everyday life is a big step for users and for application developers. The well defined user interfaces are being replaced by more intuitive ways of interaction. The challenge for pervasive system developers here is to detect and model the user intention so as to remove any lack of clarity in the user´s expression of a pervasive action. Understanding user intentions can be achieved by detecting the user status and the environment status. The attention data and context data thus obtained can be connected using appropriate task models to give us the intention data. The user intention data can be helpful in enabling PCE to provide pro-active and situation-specific user support.