Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis
Eye movements help to infer the cognitive strategy that a person uses in fluid intelligence tests. However, intelligence tests demand different relations/rules tokens to be solved, such as rule direction, which is the continuation, variation or overlay of geometric figures in the matrix of the intel...
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doaj-d2c6ebb951b648fb875cda534705907a2020-11-24T23:52:20ZengFrontiers Media S.A.Frontiers in Psychology1664-10782018-03-01910.3389/fpsyg.2018.00380310355Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type AnalysisPaulo G. Laurence0Tatiana P. Mecca1Alexandre Serpa2Romain Martin3Elizeu C. Macedo4Social and Cognitive Neuroscience Laboratory and Developmental Disorders Program, Center for Health and Biological Sciences, Mackenzie Presbyterian University, São Paulo, BrazilEducational Psychology Post-Graduation Program, Centro Universitário FIEO, Osasco, BrazilHogrefe CETEPP, São Paulo, BrazilFaculty of Language and Literature, Humanities, Arts and Education, University of Luxembourg, Luxembourg City, LuxembourgSocial and Cognitive Neuroscience Laboratory and Developmental Disorders Program, Center for Health and Biological Sciences, Mackenzie Presbyterian University, São Paulo, BrazilEye movements help to infer the cognitive strategy that a person uses in fluid intelligence tests. However, intelligence tests demand different relations/rules tokens to be solved, such as rule direction, which is the continuation, variation or overlay of geometric figures in the matrix of the intelligence test. The aim of this study was to understand whether eye movements could predict the outcome of an intelligence test and in the rule item groups. Furthermore, we sought to identify which measure is best for predicting intelligence test scores and to understand if the rule item groups use the same strategy. Accordingly, 34 adults completed a computerized intelligence test with an eye-tracking device. The toggling rate, that is, the number of toggles on each test item equalized by the item latency explained 45% of the variance of the test scores and a significant amount of the rule tokens item groups. The regression analyses also indicated toggling rate as the best measure for predicting the score and that all the rule tokens seem to respect the same strategy. No correlation or difference were found between baseline pupil size and fluid intelligence. Wiener Matrizen-Test 2 was demonstrated to be a good instrument for the purpose of this study. Finally, the implications of these findings for an understanding of cognition are discussed.http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00380/fullintelligenceeye trackingcognitionlogical reasoningproblem solving |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paulo G. Laurence Tatiana P. Mecca Alexandre Serpa Romain Martin Elizeu C. Macedo |
spellingShingle |
Paulo G. Laurence Tatiana P. Mecca Alexandre Serpa Romain Martin Elizeu C. Macedo Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis Frontiers in Psychology intelligence eye tracking cognition logical reasoning problem solving |
author_facet |
Paulo G. Laurence Tatiana P. Mecca Alexandre Serpa Romain Martin Elizeu C. Macedo |
author_sort |
Paulo G. Laurence |
title |
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis |
title_short |
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis |
title_full |
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis |
title_fullStr |
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis |
title_full_unstemmed |
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis |
title_sort |
eye movements and cognitive strategy in a fluid intelligence test: item type analysis |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2018-03-01 |
description |
Eye movements help to infer the cognitive strategy that a person uses in fluid intelligence tests. However, intelligence tests demand different relations/rules tokens to be solved, such as rule direction, which is the continuation, variation or overlay of geometric figures in the matrix of the intelligence test. The aim of this study was to understand whether eye movements could predict the outcome of an intelligence test and in the rule item groups. Furthermore, we sought to identify which measure is best for predicting intelligence test scores and to understand if the rule item groups use the same strategy. Accordingly, 34 adults completed a computerized intelligence test with an eye-tracking device. The toggling rate, that is, the number of toggles on each test item equalized by the item latency explained 45% of the variance of the test scores and a significant amount of the rule tokens item groups. The regression analyses also indicated toggling rate as the best measure for predicting the score and that all the rule tokens seem to respect the same strategy. No correlation or difference were found between baseline pupil size and fluid intelligence. Wiener Matrizen-Test 2 was demonstrated to be a good instrument for the purpose of this study. Finally, the implications of these findings for an understanding of cognition are discussed. |
topic |
intelligence eye tracking cognition logical reasoning problem solving |
url |
http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00380/full |
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