Estimation of english skill with a mobile eye tracker
Olivier Augereau, Kai S. Kunze, Hiroki Fujiyoshi, Koichi Kise · 2016
Learning a foreign language such as English is an important task for many people. The process of learning takes time and it is important to have a simple way to evaluate the progress of the skill. We propose a method to evaluate the reader's English skill based on a mobile eye tracking system. The eye tracker captures the reader's behavior while reading a document. The front camera of the eye tracker records the scene image that contains the read document. By using a retrieval algorithm we can recognize the read document and project the eye gaze data from the scene image to the document space. Then, some features related to the reading and solving behavior on several documents are computed. As a first result, we show that the TOEIC score can be estimated with an error of 36.3 points.