Predicting Eye Gaze Location on Websites. (arXiv:2211.08074v1 [cs.CV])

World-wide-web, with the website and webpage as the main interface,
facilitates the dissemination of important information. Hence it is crucial to
optimize them for better user interaction, which is primarily done by analyzing
users' behavior, especially users' eye-gaze locations. However, gathering these
data is still considered to be labor and time intensive. In this work, we
enable the development of automatic eye-gaze estimations given a website
screenshots as the input. This is done by the curation of a unified dataset …

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