Taking another look at intelligence and personality using an eye-tracking approach
Intelligence and personality are both key drivers of learning. This study extends prior
research on intelligence and personality by adopting a behavioral-process-related eye …
research on intelligence and personality by adopting a behavioral-process-related eye …
Executive functions and divergent thinking in young adults: Evidence from individual differences and cognitive training studies
The interplay between executive functions and divergent thinking remains a debated
question in creativity research. To address this issue, two studies were conducted from …
question in creativity research. To address this issue, two studies were conducted from …
Using a multi-strategy eye-tracking psychometric model to measure intelligence and identify cognitive strategy in Raven's advanced progressive matrices
Previous studies have found that participants use two cognitive strategies—constructive
matching and response elimination—in responding to items in the Raven's Advanced …
matching and response elimination—in responding to items in the Raven's Advanced …
Using a deep learning-based visual computational model to identify cognitive strategies in matrix reasoning
Z Wang, Y Liu, P Zhan - Journal of Educational and …, 2024 - journals.sagepub.com
Constructive matching and response elimination strategies are two primarily used cognitive
strategies in Raven's Advanced Progressive Matrices (APM), a valid measurement …
strategies in Raven's Advanced Progressive Matrices (APM), a valid measurement …
Development of reasoning performance in Raven's matrices is grounded in the development of effective strategy use.
C Gonthier, K Harma… - Journal of Experimental …, 2024 - psycnet.apa.org
Performance in reasoning tasks such as Raven's matrices experiences a dramatic increase
over cognitive development, but the mechanisms responsible for this increase are unknown …
over cognitive development, but the mechanisms responsible for this increase are unknown …
Responses to Raven matrices: Governed by visual complexity and centrality
Raven matrices are widely considered a pure test of cognitive abilities. Previous research
has examined the extent to which cognitive strategies are predictive of the number of correct …
has examined the extent to which cognitive strategies are predictive of the number of correct …
[PDF][PDF] Eye-Tracking-Based Hidden Markov Modeling for Revealing within-Item Cognitive Strategy Switching
Z Wang, P Zhan, P Zhan - PsyAr**v.[Google Scholar], 2024 - researchgate.net
Identifying cognitive strategies in problem-solving helps researchers understand advanced
cognitive processes and the contexts in which each strategy is applicable. Current methods …
cognitive processes and the contexts in which each strategy is applicable. Current methods …
Personality Traits and Family SES Moderate the Relationship between Media Multitasking and Reasoning Performance
The prevalence of media multitasking has raised concerns regarding its potential impact on
cognitive abilities. Despite increasing attention given to this topic, there remains no …
cognitive abilities. Despite increasing attention given to this topic, there remains no …
Testing Replicability and Generalizability of the Time on Task Effect
RJ Krämer, M Koch, J Levacher, F Schmitz - Journal of Intelligence, 2023 - mdpi.com
The time on task (ToT) effect describes the relationship of the time spent on a cognitive task
and the probability of successful task completion. The effect has been shown to vary in size …
and the probability of successful task completion. The effect has been shown to vary in size …
[HTML][HTML] Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven's Advanced Progressive Matrices: A Data-Driven Perspective
The present study utilized a recursive feature elimination approach in conjunction with a
random forest algorithm to assess the efficacy of various features in predicting cognitive …
random forest algorithm to assess the efficacy of various features in predicting cognitive …