Computational approaches to visual attention for interaction inference

Authors:
Hana Vrzakova
Affiliations:
University of Eastern Finland, Joensuu, Finland
Venue:
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
Year:
2013

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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.