The International Journal of Human-Computer Studies has published the paper "AF-Mix: A gaze-aware learning system with attention feedback in mixed reality" for publication. The paper is co-authored by Shi Liu, Peyman Toreini, and Alexander Maedche. 

In this paper, we present AF-Mix, a learning support system that leverages eye tracking sensors in Microsoft HoloLens 2 to offer attention feedback for learners is designed and evaluated.   Our findings show that providing feedback to support the learning process can be achieved effectively with eye tracking. In specific, attention feedback assists learners in retrieving previously missed information and encourages learners to reallocate their attention in the review process. Moreover, providing personalized feedback based on previous attention allocation is more effective in supporting users than a self-review approach without gaze-aware assistance in MR. 

The paper is Open Access and available here: https://www.sciencedirect.com/science/article/pii/S1071581925000242?via%3Dihub