Projects here explore a range of immersive technologies, including virtual and augmented reality, surface computing with interactive tabletops and walls.
These projects aim to create user interfaces for health and wellness, integrating research on novel interfaces, back-end software systems, with data mining and machine learning to harness personal data in new ways.
We aim to create new ways to support lifelong and life-wide learning. This includes formal education in classrooms and online. It also tackles challenges of learning over the long term. This work combines human-computer interaction research, machine learning and data mining, as well as software infrastructures.
Projects here aim to advance data science, both by creating new methods for machine learning and data mining and by applying data mining in diverse contexts. There is a rich interaction between these aspects, with the demands of a particular context driving creation of new machine learning and data mining methods.
These projects focus on handling of personal data by building a user model that can drive personalisation of interfaces. Our focus is on collecting and managing personal data and user models in ways that enable a person to determine what information a system keeps about them and how that information is used.