Eye tracking for intelligent user interfaces
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.
Leader: Eduardo Velloso
Students: Joshua Newn, Brandon Syiem
Microsoft Centre for Social NUI (SOCIALNUI)
Computing and Information Systems
Networks and data in society
artificial intelligence; interaction design