  Nowadays, eye tracking is the most used technology to detect areas of
interest. This kind of technology requires specialized equipment recording
user's eyes. In this paper, we propose SneakPeek, a different approach to
detect areas of interest on images displayed in web pages based on the zooming
and panning actions of the users through the image. We have validated our
proposed solution with a group of test subjects that have performed a test in
our on-line prototype. Being this the first iteration of the algorithm, we have
found both good and bad results, depending on the type of image. In specific,
SneakPeek works best with medium/big objects in medium/big sized images. The
reason behind it is the limitation on detection when smartphone screens keep
getting bigger and bigger. SneakPeek can be adapted to any website by simply
adapting the controller interface for the specific case.
