Eye tracking for intelligent user interfaces

Project description

Imagine a world where computers react to your eye movements. This project aims at designing, building, and investigating artificially intelligent systems that take input from users' eyes. Potential application areas include creating educational interfaces that are aware of students' cognitive states, smart homes that are controlled by gaze, and work productivity systems that optimise your workflow based on your attentive states.

Project team

Leader: Eduardo Velloso

Students: Joshua Newn, Brandon Syiem

Other projects

Networks and data in society projects

Research Centre

Microsoft Centre for Social NUI (SOCIALNUI)


Computing and Information Systems


Networks and data in society


artificial intelligence; interaction design