ASSOCIATIONS BETWEEN COGNITIVE-LINGUISTIC SKILLS AND OCULOMOTOR PATTERNS IN SENTENCE READING
Main Article Content
Abstract
This study examined how executive functions and cognitive-linguistic skills relate to online lexical processing during sentence reading as a function of word frequency, word length, and concreteness in 171 first- and second-grade children. Executive functions (interference, verbal working memory, and fluency) and linguistic abilities (vocabulary, Rapid Automatized Naming, and phonological awareness) were assessed and linked to two oculomotor indices of word processing, namely First Fixation Duration (FFD) and Total Fixation Duration (TFD), computed for six lexical areas of interest, using descriptive analyses and regression models. Children processed high-frequency words more efficiently than low-frequency words in both FFD and TFD. Early efficiency was associated with fluency and phonological awareness (PA), whereas later efficiency was linked to interference control. Although long words descriptively elicited longer fixations, neither age nor cognitive and linguistic skills significantly predicted differences in FFD or TFD, suggesting that word length was not a reliable predictor of lexical processing efficiency in this task. No consistent advantage was found for concrete over abstract words. Abstract words imposed greater demands during the initial stages of processing (FFD), but these differences diminished in TFD and were not explained by cognitive or linguistic skills. Taken together, these findings provide preliminary evidence that lexical processing efficiency in emergent readers may depend more strongly on word familiarity and on cognitive and linguistic skills than on word length or concreteness, highlighting the interaction between stimulus properties and individual competencies in early reading. However, the findings should be interpreted with caution, as they are task-specific and based on limited item sampling, with only one item representing each lexical category.
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
References
Amini, D., Mamizadeh, M., & Pouralvar, K. (2022). Effect of emotional valence, frequency and gender on L2 word recognition time: An eye-tracking study. Language Related Research, 13(3), 111-138. http://doi.org/10.52547/LRR.13.3.6
Baron, A., Martins, A., Puggioni, G., & Harwood, V. (2026). Rapid Automatized Naming (RAN) and word reading fluency in early school-aged children: A pilot eye-tracking study. Journal of Eye Movement Research, 19(1), Article 16. https://doi.org/10.3390/jemr19010016
Cuetos, F., Rodríguez, B., Ruano, E., & Arribas, D. (2014). Prolec-R. Batería de evaluación de los procesos lectores (5ª ed.) [Prolec-R. Battery for the evaluation of reading processes]. TEA Ediciones.
de-la-Peña, C. (2024). Eye-tracking contribution on processing of (implicit) reading comprehension. Journal of New Approaches in Educational Research, 13, Article 13. https://doi.org/10.1007/s44322-024-00013-w
Dunn, L. M., Dunn, L. M., & Arribas, D. (2010). PPVT-III Peabody. Test de vocabulario en imágenes (2ª ed.) [PPVI-III Peabody. Vocabulary test in images]. TEA ediciones.
Fan, X., & Reilly, R. G. (2022). Eye movement control in reading Chinese: A matter of strength of character? Acta Psychologica, 230, Article 103711. https://doi.org/10.1016/j.actpsy.2022.103711
Farahibozorg, S. R., Henson, R. N., Woollams, A. M., & Hauk, O. (2022). Distinct roles for the anterior temporal lobe and angular gyrus in the spatiotemporal cortical semantic network. Cerebral Cortex, 32(20), 4549-4564. https://doi.org/10.1093/cercor/bhab501
Fawcett, A., & Nicolson, R. (2016). DST-J. Test para la detección de la dislexia en niños [DST-J Test for the detection of dyslexia in children]. TEA Ediciones.
Gerth, S., & Festman, J. (2021). Reading development, word length and frequency effects: An eye-tracking study with slow and fast readers. Frontiers in Communication, 6, Article 743113. https://doi.org/10.3389/fcomm.2021.743113
Grainger, J., & Ziegler, J. C. (2011). A dual-route approach to orthographic processing. Frontiers in Psychology, 2, Article 54. https://doi.org/10.3389/fpsyg.2011.00054
Hautala, J., Hawelka, S., & Ronimus, M. (2024). An eye movement study on the mechanisms of reading fluency development. Cognitive Development, 69, Article 101395. https://doi.org/10.1016/j.cogdev.2023.101395
Hawelka, S., Gagl, B., & Wimmer, H. (2010). A dual-route perspective on eye movements of dyslexic readers. Cognition, 115(3), 367-379. https://doi.org/10.1016/j.cognition.2009.11.004
Kearney, E., McMahon, K. L., Guenther, F., Arciuli, J., & de Zubicaray, G. I. (2025). Revisiting the concreteness effect: Non-arbitrary mappings between form and concreteness of English words influence lexical processing. Cognition, 254, Article 105972. https://doi.org/10.1016/j.cognition.2024.105972
Kim, Y.-S. G., Petscher, Y., & Vorstius, C. (2021). The relations of online reading processes (eye movements) with working memory, emergent literacy skills, and reading proficiency. Scientific Studies of Reading, 25(4), 351-369. https://doi.org/10.1080/10888438.2020.1791129
Kim, Y.-S. G., Little, C., Petscher, Y., & Vorstius, C. (2022). Developmental trajectories of eye movements in oral and silent reading for beginning readers: A longitudinal investigation. Scientific Reports, 12, Article 18708. https://doi.org/10.1038/s41598-022-23420-5
Korkman, M., Kirk, U., & Kemp, S. (2014). Batería neuropsicológica infantil NEPSY-II [NEPSY-II Child Neuropsychological Battery]. Pearson.
López-Martín, E., & Ardura-Martínez, D. (2023). The effect size in scientific publication. Educación XX1, 26(1), 9-17. https://doi.org/10.5944/educxx1.36276
Magnabosco, F., & Hauk, O. (2024). An eye on semantics: A study on the influence of concreteness and predictability on early fixation durations. Language, Cognition and Neuroscience, 39(3), 302-316. https://doi.org/10.1080/23273798.2023.2274558
Palmović, M., Jäger, L. A., & Hollenstein, N. (2023). Editorial: Eye-tracking while reading for psycholinguistic and computational models of language comprehension. Frontiers in Psychology, 14, Article 1326408. https://doi.org/10.3389/fpsyg.2023.1326408
Pan, W., Li, X., Chen, X., & Xu, R. (2025). Textual form features for text readability assessment. Natural Language Processing, 31(3), 800-841. https://doi.org/10.1017/nlp.2024.50
Papadopoulos, T. C., Fella, A., Acartürk, C., Bahçekapılı, E., Canaj, K., Cergol, K., Dinçtopal Deniz, N., Hollenstein, N., Hržica, G., Jozipović, M., Kasperė, R., Klimek-Jankowska, D., Søndergaard Knudsen, H. B., Krebs, J., Krejtz, I., Leszko, M., Łockiewicz, M., Motiejūnienė, J., Özkan, A., … Erol Barkana, D. E. (2026). Eye-Tracking in reading research: A systematic review of studies with children of varying reading ability. European Psychologist, 31(2), 134-168. https://doi.org/10.1027/1016-9040/a000579
Perfetti, C. A. (2007). Reading ability: Lexical quality and comprehension. Scientific Studies of Reading, 11(4), 357-383. https://doi.org/10.1080/10888430701530730
Perfetti, C. A., & Hart, L. (2002). The lexical quality hypothesis. In L. Verhoeven, C. Elbro, & P. Reitsma (Eds.), Precursors of functional literacy (pp. 189-213). John Benjamins Publishing Company.
Portellano, J. A., Zumárraga Astorqui, L., & Martínez Arias, R. (2009). Test de interferencia de la Evaluación Neuropsicológica de las Funciones Ejecutivas en Niños (ENFEN) [Interference test for neuropsychological assessment of executive functions in children]. Tea Ediciones.
Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372-422. https://doi.org/10.1037/0033-2909.124.3.372
Reichle, E. D., Liversedge, S. P., Drieghe, D., Blythe, H. I., Joseph, H. S. S. L., White, S. J., & Rayner, K. (2013). Using E-Z reader to examine the concurrent development of eye-movement control and reading skill. Developmental Review, 33(2), 110-149. https://doi.org/10.1016/j.dr.2013.03.001
Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26, 445-526. https://doi.org/10.1017/ S0140525X03000104.
Schotter, E. R., & Dillon, B. (2025). A beginner’s guide to eye tracking for psycholinguistic studies of reading. Behavior Research Methods, 57, Article 68, https://doi.org/10.3758/s13428-024-02572-4
Smirnova, A., Chun, K. B., Rothman, W. L., & Sarma, S. (2025). Text simplification for children: Evaluating LLMs vis-à-vis human expert. In CHI EA ’25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (Article 512, 1-10). ACM. https://doi.org/10.1145/3706599.3719889
Strandberg, A., Nilsson, M., Östberg, P., & Seimyr, G. O. (2022). Eye movements during reading and their relationship to reading assessment outcomes in Swedish elementary school children. Journal of Eye Movement Research, 15(4), Article 3. https://doi.org/10.16910/jemr.15.4.3
Tobii AB. (2024). Tobii Pro Lab [Computer software]. https://connect.tobii.com/
Wechsler, D. (2015). WISC-V. Escala de inteligencia de Wechsler para niños-V [WISC-V. Wechsler Intelligence Scale for Children-V]. Pearson.
Yan, M., & Pan, J. (2023). Joint effects of individual reading skills and word properties on Chinese children’s eye movements during sentence reading. Scientific Reports, 13, Article 14754. https://doi.org/10.1038/s41598-023-41041-4