Eye Got It: A System for Automatic Calculation of the Eye-Voice Span

Mohamed El Baha, Olivier Augereau, Sofiya Kobylyanskaya, Ioana Vasilescu, Laurence Devillers

Abstract: Over the past decade, eye movement has been widely looked into for describing and analyzing several cognitive processes and especially for human-document interaction, such as estimating reading ability and document understanding. Most of the existing applications have been done for silent reading but we propose to explore reading aloud interaction through a powerful measurement named the “eye-voice span” which measures the distance between the eyes and the voice. In this paper we present an open-source platform named “Eye got it” and the underlying algorithms that can be used for processing eye-tracking and voice data in order to compute automatically the eye-voice span.