Improving the Mobile Phone Habitat - Learning Changes in User's Profiles

Mobile phones are becoming a popular platform for a range of applications. However, due to size restrictions, the interfaces of these applications can be difficult to use. Customising an interface for a particular user offers the potential to improve an interface’s efficiency. In this paper, we propose customising a mobile phone’s Profile application. We apply a machine learning approach to discover concepts that describe a user’s profile-activations in terms of their scheduled appointments. We found that it is possible to learn useful concepts, which maybe used to improve the users interaction with mobile phone devices.