ArticleFrontiers in psychology2018
Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis.
Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- Individual Differences in Problem-Solving Behavior in Reasoning Tests: The Role of Item Difficulty and Item Position.Journal of Intelligence · 2026Article
- Watching reasoning at work: eye movement patterns of participants with ADHD solving Raven´s matrices.European child & adolescent psychiatry · 2026Article
- Individual Differences in Strategy and the Item-Position Effect in Reasoning Ability Measures.Journal of Intelligence · 2025Article
- Eye-tracking-based hidden Markov modeling for revealing within-item cognitive strategy switching.Behavior research methods · 2025Article
- Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven's Advanced Progressive Matrices: A Data-Driven Perspective.Journal of Intelligence · 2025Article
- Protocol and preregistration for the CODEC project: measuring, modelling and mechanistically understanding the nature of cognitive variability in early childhood.BMC psychology · 2024Article
- Taking another look at intelligence and personality using an eye-tracking approach.NPJ science of learning · 2024Article
- Article
- A review of machine learning in scanpath analysis for passive gaze-based interaction.Frontiers in artificial intelligence · 2024Review
- Eye Gaze Patterns during Reasoning Provide Insights Regarding Individual Differences in Underlying Cognitive Abilities.Journal of Intelligence · 2023Article
- Cognitive strategies in matrix-reasoning tasks: State of the art.Psychonomic bulletin & review · 2023Review
- Using machine learning to explore the characteristics of eye movement patterns and relationship with cognition ability of Chinese children aged 1-6 years.Frontiers in human neuroscience · 2023Article
- The Development of Relational Reasoning: An Eyetracking Analysis of Strategy Use and Adaptation in Children and Adults Performing Matrix Completion.Open mind : discoveries in cognitive science · 2023Article
- Article
- Cognitive strategies revealed by clustering eye movement transitions.Journal of eye movement research · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.