Measuring Reading Characteristics Using Eye Tracking and a Context Adapting Classification System

Jakob de Lemos

Abstract: This abstract introduces a new automated method of measuring reading patterns by analyzing eye properties via an eye tracking platform and context analysis. The method utilizes eye tracking data and stimulus text properties in a way that makes it possible to identify reading fixations and reading patterns with a high accuracy compared to looking at fixations only. This helps doing a fast initial analysis on how the text is cognitively perceived and thereby provides easier access to valuable high level information on how the text is comprehended.


  • Eye tracking
  • Reading analysis
  • Gaze analysis
  • Text recognition
This publication uses Eye Tracking which is fully integrated into iMotions Lab

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