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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Cognitive strategies revealed by clustering eye movement transitions

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Author(s):
Kucharsky, Simon [1] ; Visser, Ingmar [1] ; Trutescu, Gabriela-Olivia [2] ; Laurence, Paulo G. [3] ; Zaharieva, Martina [1] ; Raijmakers, Maartje E. J. [1, 4]
Total Authors: 6
Affiliation:
[1] Univ Amsterdam, Amsterdam - Netherlands
[2] Leiden Univ, Leiden - Netherlands
[3] Univ Prebiteriana Mackenzie, Sao Paulo - Brazil
[4] Vrije Univ, Amsterdam - Netherlands
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF EYE MOVEMENT RESEARCH; v. 13, n. 1 2020.
Web of Science Citations: 0
Abstract

In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks. (AU)

FAPESP's process: 18/09654-7 - Stereotype boost: neural correlates and ocular measures in the processing of social stereotype boost
Grantee:Paulo Guirro Laurence
Support type: Scholarships in Brazil - Doctorate