https://doi.org/10.1140/epjb/e2019-100437-4
Regular Article
Complexity analysis of eye-tracking trajectories
Permutation entropy may unravel cognitive styles
1
Departamento de Ing. Eléctrica y Computadoras, Universidad Nacional del Sur,
Alem 1253 (8000),
Bahía Blanca, Argentina
2
CONICET,
Buenos Aires, Argentina
3
Departamento de Física, Universidad Nacional del Sur,
Alem 1253 (8000),
Bahía Blanca, Argentina
a e-mail: cad@uns.edu.ar
Received:
9
September
2019
Received in final form:
31
October
2019
Published online: 18 December 2019
We propose a novel adaptation of permutation entropy analysis applied to eye-tracking data. Eye movements arising during cognitive tasks are characterized as sequences of trajectories within a space of ordinal trajectory patterns, thus taking advantage of recent advancements in the study of complex processes in terms of statistical complexity. Results show correlations between the permutation entropies of the eye-tracking trajectories and the type of cognitive task being performed by the subjects. Moreover, the behavior of subjects along all the experiments cluster together into two groups within a projection of the ordinal pattern space in the three principal components. This strongly suggests the existence of two different underlying problem solving styles among the subjects, which are expressed in how the movement sequences are organized.
Key words: Statistical and Nonlinear Physics
© EDP Sciences / Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature, 2019
