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Multimodal approaches for detecting attention in Human-Computer Interaction

Build computer systems that can recognize human emotions, and help us learn, work and collaborate in more satisfying ways. more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

Novel interaction on tabletop interfaces

Tabletop or surface computing interfaces are an emerging form of pervasive computing. This project creates the software that will provide new ways for people to interact easily in t more...

Supervisor(s): Kay, Judy (Professor)

Spherical multi-modal scene analysis

The next generation of webcam is likely to be a multi-modal spherical scene analysis device that improves human-computer interaction. This research project explores how to successfu more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Computer Vision-based direct interaction with a large display

This project investigates a natural Human-Computer Interaction system to support direct interaction with a large display system. more...

Supervisor(s): Takatsuka, Masahiro (Associate Professor)

Personalised systems with user control

There is a huge amount of personalisation in existing software, especially in web-based systems. Generally, these give rather poor support for users to control the personalisation, more...

Supervisor(s): Kay, Judy (Professor)

Educational data mining

This project aims at mining the huge amount of electronic data collected by educational systems to discover useful information for teachers, learners and education researchers. Educ more...

Supervisor(s): Yacef, Kalina (Associate Professor)

Lifelong User Modelling

This project aims to create computer systems that will make it easy for a person to control large stores of personal information. It addresses issues of privacy support and interope more...

Supervisor(s): Kay, Judy (Professor)