Eye tracking has been used for many different areas of study where a user's eye movements are considered the most important information available. Before eye tracking was possible, the only way that information could be obtained was to ask the user where they looked and what caught their attention. Now, with the rise of eye tracking cameras, this data can be captured, stored, and processed in a meaningful way. These cameras aren't perfectly accurate however and there is still some interpretation that must be applied to more accurately represent the true gaze path of the user. This paper establishes some basic ideas to improve the accuracy when reading plain text as well as source code. |