Scala MOOC and Eye-tracking
We are conducting an eye-tracking study, where participants watch a MOOC lecture while their eye-movements are recorded. The participants also answer a few programming questions related to the video lectures. The prime question is about finding a global gaze behaviour pattern to predict the post test score. The code is presented differently in the slides and on all the slides we can observe different gaze transition to align the theory with the code. The goal will be to aggregate different gaze patterns to predict the learning outcome (the quiz score). Another important question is about the gaze behaviour of subject and the fact that (s)he has to answer some questions during the lecture, also, the fact that when the answer will be provided. The hand overlay used in this MOOC video efficiently attract the viewers gaze and allows the teacher to guide the students towards relevant references
Another part of this research is to develop a webcam based eye-tracker, which has lesser precision than the professional eye-trackers, however such an eye-tracker is free of cost and user does not need to install anything to use the eye-tracker. This eye-tracker can be used to involve a very large number of participants in studies which do not need very high precision eye-tracking. Following is a video where the video playback is controlled by the gaze of the user.