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Entropy of eye movement during rapid automatized naming
Numerous studies have focused on the understanding of rapid automatized naming (RAN), which can be applied to predict reading abilities and developmental dyslexia in children. Eye tracking technique, characterizing the essential ocular activities, might have the feasibility to reveal the visual and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407438/ https://www.ncbi.nlm.nih.gov/pubmed/36034115 http://dx.doi.org/10.3389/fnhum.2022.945406 |
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author | Wang, Hongan Liu, Fulin Dong, Yuhong Yu, Dongchuan |
author_facet | Wang, Hongan Liu, Fulin Dong, Yuhong Yu, Dongchuan |
author_sort | Wang, Hongan |
collection | PubMed |
description | Numerous studies have focused on the understanding of rapid automatized naming (RAN), which can be applied to predict reading abilities and developmental dyslexia in children. Eye tracking technique, characterizing the essential ocular activities, might have the feasibility to reveal the visual and cognitive features of RAN. However, traditional measures of eye movements ignore many dynamical details about the visual and cognitive processing of RAN, and are usually associated with the duration of time spent on some particular areas of interest, fixation counts, revisited fixation counts, saccadic velocities, or saccadic amplitudes. To cope with this drawback, we suggested an entropy-based method to measure eye movements for the first time, which first mapped eye movements during RAN in a time-series and then analyzed the time-series by a proper definition of entropy from the perspective of information theory. Our findings showed that the entropy was more sensitive to reflect small perturbation (e.g., rapid movements between focuses in the presence of skipping or omitting some stimulus during RAN) of eye movements, and thus gained better performance than traditional measures. We also verified that the entropy of eye movements significantly deceased with the age and the task complexity of RAN, and significantly correlated with traditional eye-movement measures [e.g., total time of naming (TTN)] and the RAN-related skills [e.g., selective attention (SA), cognitive speed, and visual-motor integration]. Our findings may bring some new insights into the understanding of both RAN and eye tracking technique itself. |
format | Online Article Text |
id | pubmed-9407438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94074382022-08-26 Entropy of eye movement during rapid automatized naming Wang, Hongan Liu, Fulin Dong, Yuhong Yu, Dongchuan Front Hum Neurosci Neuroscience Numerous studies have focused on the understanding of rapid automatized naming (RAN), which can be applied to predict reading abilities and developmental dyslexia in children. Eye tracking technique, characterizing the essential ocular activities, might have the feasibility to reveal the visual and cognitive features of RAN. However, traditional measures of eye movements ignore many dynamical details about the visual and cognitive processing of RAN, and are usually associated with the duration of time spent on some particular areas of interest, fixation counts, revisited fixation counts, saccadic velocities, or saccadic amplitudes. To cope with this drawback, we suggested an entropy-based method to measure eye movements for the first time, which first mapped eye movements during RAN in a time-series and then analyzed the time-series by a proper definition of entropy from the perspective of information theory. Our findings showed that the entropy was more sensitive to reflect small perturbation (e.g., rapid movements between focuses in the presence of skipping or omitting some stimulus during RAN) of eye movements, and thus gained better performance than traditional measures. We also verified that the entropy of eye movements significantly deceased with the age and the task complexity of RAN, and significantly correlated with traditional eye-movement measures [e.g., total time of naming (TTN)] and the RAN-related skills [e.g., selective attention (SA), cognitive speed, and visual-motor integration]. Our findings may bring some new insights into the understanding of both RAN and eye tracking technique itself. Frontiers Media S.A. 2022-08-04 /pmc/articles/PMC9407438/ /pubmed/36034115 http://dx.doi.org/10.3389/fnhum.2022.945406 Text en Copyright © 2022 Wang, Liu, Dong and Yu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Hongan Liu, Fulin Dong, Yuhong Yu, Dongchuan Entropy of eye movement during rapid automatized naming |
title | Entropy of eye movement during rapid automatized naming |
title_full | Entropy of eye movement during rapid automatized naming |
title_fullStr | Entropy of eye movement during rapid automatized naming |
title_full_unstemmed | Entropy of eye movement during rapid automatized naming |
title_short | Entropy of eye movement during rapid automatized naming |
title_sort | entropy of eye movement during rapid automatized naming |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407438/ https://www.ncbi.nlm.nih.gov/pubmed/36034115 http://dx.doi.org/10.3389/fnhum.2022.945406 |
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