25 August 2006 Maximizing reading: pattern analysis to describe points of gaze
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Abstract
As people read texts, their points of gaze can be described either as a sequence or as a pattern of dots. If reading fixations are visualized as a pattern and their duration is graphically attributed to the 3rd dimension, image processing techniques can be employed to describe individual reading styles. Two reader groups of text editors and of University students were matching according to parametric tests. Yet they appeared to have marked inter-subject variability of fixation distribution when individual cases were considered. To illustrate this, we applied a simple "Coulomb law" - like model that takes both fixation duration and spacing into account. Further the image entropy filter was shown to distinguish the readers by the extreme value points. Statistical averaging can level out differences in reading patterns that appear by image processing techniques.
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Roberts Paeglis, Kristine Bagucka, Nikolajs Sjakste, Ivars Lacis, "Maximizing reading: pattern analysis to describe points of gaze", Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 63150R (25 August 2006); doi: 10.1117/12.687470; https://doi.org/10.1117/12.687470
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