Vo, TanGedeon, Tamas (Tom)2015-12-07November 19783642249648http://hdl.handle.net/1885/18052This paper demonstrates the ability to study the human reading behaviors with the use of Electroencephalography (EEG). This is a relatively new research direction because, obviously, gaze-tracking technologies are used specifically for those types of studies. We suspect, EEG, with the capability of recording brain-wave activities from the human scalp, in theory, could exhibit potential attributes to replace gaze-tracking in such research. To prove the concept, in this paper, we organized a BCI experiment and propose a model for effective classifying EEG data in comparison to the accuracy of gaze-tracking. The results show that by using EEG, we could achieve comparable results against the more established methods while demonstrating a potential live EEG applications. This paper also discusses certain points of consideration for using EEG in this work.Author/s retain copyrightKeywords: Artificial Neural Network; BCI; Reading tasks; Research directions; Behavioral research; Brain; Data processing; Electrophysiology; Neural networks; Signal processing; Electroencephalography Artificial Neural Network; BCI; EEG; Reading tasks; Signal Processing201110.1007/978-3-642-24955-6_482016-02-24