Maximizing reading: pattern analysis to describe points of gaze

Roberts Paeglis; Kristine Bagucka; Nikolajs Sjakste; Ivars Lacis

doi:10.1117/12.687470

25 August 2006 Maximizing reading: pattern analysis to describe points of gaze

Roberts Paeglis, Kristine Bagucka, Nikolajs Sjakste, Ivars Lacis

Proceedings Volume 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX; 63150R (2006) https://doi.org/10.1117/12.687470
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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 3^rd 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.

Citation Download Citation

Roberts Paeglis, Kristine Bagucka, Nikolajs Sjakste, and 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); https://doi.org/10.1117/12.687470

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available