Computational approaches to visual attention for interaction inference

Abstract

Many aspects of interaction are hard to directly observe and measure. My research focuses on particular aspects of UX such as cognitive workload, problem solving or engagement, and establishes computational links between them and visual attention. Using machine learning and pattern recognition techniques, I aim to achieve automatic inferences for HCI and employ them as enhancements in gaze-aware interfaces.