Monitoring the Progress of Fast Reading Training with Use of the Eyetracker and Scanpath Statistics

The research on the human reading technique and text perception strategies needs objective evaluation methods. Our proposal consists in the use of scan-path recording and eye track processing results as estimators of reading skills and capability of error compensation. Visual tasks, being principal investigation tool, were completed by arrangement of texts for presentation, eye trajectory acquisition and assessment of comprehension degree. Our results show that gaze point statistics represent well the observer performance and skills in fast reading even in free-spotting-based visual tasks. Additionally, we reveal very high human tolerance for errors, outperforming any known optical character recognition software.