Our paper uses a subset of the real questions posted by users on Community Question Answering (CQA) sites, and searches and interactions from real users -which makes our task unique and more challenging than the previous settings.
our work builds on the rich history of using eye tracking technology to identify areas of interest and attention, and to study reading behavior.