Mining the User Profile From a Smartphone: A Multimodal Agent Framework
Now-a-days, smartphones play a significant role in gathering relevant data about their owners. Micro-devices embedded in Personal Digital Assistants (PDAs) perform a continuous sensing, the phone call lists, PIM (Personal Information Manager), text messages and so on allow to collect and mine data enough for a high-level description of daily activities of a user. This paper proposes an agent able to perform an automated profile annotation by adopting semantic web languages. As a proof of concept, the devised agent has been tested in an Ambient Intelligence (AmI) scenario, i.e., a demotic environment where it interacts with its home counterpart to trigger services best matching the user needs.