Eye and Mouse Coordination During Task: From Behaviour to Prediction

The study of web users' behaviour is of crucial importance for understanding people reaction when browsing websites. Eye-tracking is a precise tool for this purpose, but it is hard to scale up when trying to apply it to a wide range of situations and websites. On the other hand, mouse-tracking fulfills these requirements. Unfortunately, mouse data provides a limited approximation of the eye position as it was shown in the literature. In this paper, we investigated the relationship between mouse and eye behaviour on several kind of websites with three different tasks to create models based on these behaviours. Our findings were that 1) saliency Pearson's correlation is not suitable to analyse eye and mouse coordination, 2) this coordination is altered according to the task, 3) scroll speed directly influence where the eyes are during the scroll, 4) amplitude vary according to eyes position before the scroll and 5) by using the X axis variations it is possible to find the moments where it is easier to model eyes location from mouse location.