Peter Krátky
ABSTRACT
When a user browses a webpage, he or she generates a lot of data while moving with mouse or touchpad. The movement data hides useful information about the activity of the user. Knowing this might be useful for the perfect timing of hints online. In this paper, we propose our method for detection of browsing activity, specifically reading content and navigating. We describe our experiment in simulated news portal to acquire the dataset and we present the detection method results.
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