Our latest paper at HCI explores how human gaze can make AI more interpretable and reliable!

We show how integrating human gaze information aligns human and machine attention, improving model robustness and explainability. Demonstrated on real-world visual quality inspection, the approach highlights the value of explicit human knowledge in training trustworthy AI. Published at the International Conference on Human-Computer Interaction.