dc.creatorAvila, Federico
dc.creatorDelrieux, Claudio Augusto
dc.creatorGasaneo, Gustavo
dc.date.accessioned2020-09-21T13:58:35Z
dc.date.accessioned2022-10-15T07:18:36Z
dc.date.available2020-09-21T13:58:35Z
dc.date.available2022-10-15T07:18:36Z
dc.date.created2020-09-21T13:58:35Z
dc.date.issued2019-12-18
dc.identifierAvila, Federico; Delrieux, Claudio Augusto; Gasaneo, Gustavo; Complexity analysis of eye-tracking trajectories: Permutation entropy may unravel cognitive styles; Springer; European Physical Journal B - Condensed Matter; 92; 18-12-2019; 1-7
dc.identifier1434-6028
dc.identifierhttp://hdl.handle.net/11336/114396
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4359598
dc.description.abstractWe 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.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140/epjb/e2019-100437-4
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1140/epjb/e2019-100437-4
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectSTATISTICAL AND NONLINEAR PHYSICS
dc.titleComplexity analysis of eye-tracking trajectories: Permutation entropy may unravel cognitive styles
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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