Entropy-based Statistical Analysis of Eye Movement Transitions

Krzysztof Krejtz , Tomasz Szmidt , Andrew T. Duchowski , Izabela Krejtz


The paper introduces a two-step method of quantifying eye movement transitions between Areas of Interests (AOIs). First, individuals' gaze switching patterns, represented by fixated AOI sequences, are modeled as Markov chains. Second, Shannon's entropy coefficient of the fit Markov model is computed to quantify the complexity of individual switching patterns. To determine the overall distribution of attention over AOIs, the entropy coefficient of individuals' stationary distribution of fixations is calculated. The novelty of the method is that it captures the variability of individual differences in eye movement characteristics, which are then summarized statistically. The method is demonstrated on gaze data collected during free viewing of classical art paintings. Shannon's coefficient derived from individual transition matrices is significantly related to participants' individual differences as well as to their aesthetic experience of art pieces.
Author Krzysztof Krejtz (Wydział Psychologii)
Krzysztof Krejtz,,
- Wydział Psychologii
, Tomasz Szmidt
Tomasz Szmidt,,
, Andrew T. Duchowski
Andrew T. Duchowski,,
, Izabela Krejtz (Wydział Psychologii)
Izabela Krejtz,,
- Wydział Psychologii
Publication size in sheets0.5
Book Qvarfordt Pernilla , Witzner Hansen Dan (eds.): ETRA '14 Proceedings of the Symposium on Eye Tracking Research and Applications, 2014, ACM, ISBN 978-1-4503-2751, DOI:10.1145/2578153.2578176
Keywords in Englisheye movements, transition matrix, Shannon entropy, Markov model, gaze distribution
URL http://doi.acm.org/10.1145/2578153.2578176
Languageen angielski
paper.pdf of 14-09-2015
2.98 MB
paper-entropy.pdf of 14-09-2015
2.97 MB
Score (nominal)0
Citation count*40 (2020-09-25)
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Dorobek Naukowy - Preview URLhttp://dn.swps.edu.pl/Podglad.aspx?WpisID=15258
Dorobek Naukowy - Approve URLhttp://dn.swps.edu.pl/Biuro/ZatwierdzanieWpisu.aspx?WpisID=15258
Dorobek Naukowy - Preview URLhttp://dn.swps.edu.pl/Podglad.aspx?WpisID=16703
Dorobek Naukowy - Approve URLhttp://dn.swps.edu.pl/Biuro/ZatwierdzanieWpisu.aspx?WpisID=16703
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