Personalized detection of user intentions

Interface agents are strategic software components for improving the quality of services to users. In order to be accepted by users, interface agents need to make useful suggestions always in the context of the user’s intention. The user’s intention should be detected as soon as possible so that the agent can define a way to collaborate with the user. Plan recognition can be applied to identify the user’s goal based on his or her actions in the environment. However, classical approaches to plan recognition fail in two main aspects that make them unsuitable for being used by interface agents: the lack of personalization and the lack of consideration of the transition between different goals pursued by the user. We propose an approach to capture intentions taking into account the variables involved in the application domain that represent the user preferences. Experimental evaluations show us that we have found a way for early detection of intentions.