Eye movements and cognitive strategy in a fluid intelligence test: Item type analysis

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.

Format

Journal

Language

English

Author(s)

Paulo G. Laurence
Tatiana P. Mecca
Alexandre Serpa
Romain Martin
Elizeu C. Macedo

Original Work Citation

Laurence, P. G., Mecca, T. P., Serpa, A., Martin, R., & Macedo, E. C. (2018, March). Eye movements and cognitive strategy in a fluid intelligence test: Item type analysis. Frontiers in Psychology, 9, 380. doi: 10.3389/fpsyg.2018.00380

Collection

Citation

“Eye movements and cognitive strategy in a fluid intelligence test: Item type analysis,” Francine Shapiro Library, accessed July 18, 2018, https://emdria.omeka.net/items/show/25101.

Output Formats