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Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images
The present study investigated the visual scanning pattern of children with typical development in three different age groups(4–6,6–8,8–10 years old). We used a data set from one related research, which included images with different low-level features: Green and Normal. This study analyzed age-asso...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210284/ https://www.ncbi.nlm.nih.gov/pubmed/32385289 http://dx.doi.org/10.1038/s41598-020-63951-3 |
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author | Yazdan-Shahmorad, Padideh Sammaknejad, Negar Bakouie, Fatemeh |
author_facet | Yazdan-Shahmorad, Padideh Sammaknejad, Negar Bakouie, Fatemeh |
author_sort | Yazdan-Shahmorad, Padideh |
collection | PubMed |
description | The present study investigated the visual scanning pattern of children with typical development in three different age groups(4–6,6–8,8–10 years old). We used a data set from one related research, which included images with different low-level features: Green and Normal. This study analyzed age-associated inter-individual differences and was intended to show that graph profiling combined with a fixation time approach could help us to better understand the developmental visual pattern. Thus, degree centrality as one of the graph theory measures was implied to analyze gaze distribution. We explored the influence of bottom-up features, comparing the first 2 s (early phase) with the interval from 4 to 6 s (late phase) of scene exploration during age development. Our results indicated that degree centrality and fixation time increased with age. Furthermore, it was found that the effects of saliency are short-lived but significant. Moreover, we found that Green images during the early phase play an important role in visual anchoring, and the children’s performance was significantly different between 4–6 y and 6–8y-group. This comparative study underscores the ability of degree centrality as a developing innovative measure to perform eye-tracking data analyses. |
format | Online Article Text |
id | pubmed-7210284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72102842020-05-15 Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images Yazdan-Shahmorad, Padideh Sammaknejad, Negar Bakouie, Fatemeh Sci Rep Article The present study investigated the visual scanning pattern of children with typical development in three different age groups(4–6,6–8,8–10 years old). We used a data set from one related research, which included images with different low-level features: Green and Normal. This study analyzed age-associated inter-individual differences and was intended to show that graph profiling combined with a fixation time approach could help us to better understand the developmental visual pattern. Thus, degree centrality as one of the graph theory measures was implied to analyze gaze distribution. We explored the influence of bottom-up features, comparing the first 2 s (early phase) with the interval from 4 to 6 s (late phase) of scene exploration during age development. Our results indicated that degree centrality and fixation time increased with age. Furthermore, it was found that the effects of saliency are short-lived but significant. Moreover, we found that Green images during the early phase play an important role in visual anchoring, and the children’s performance was significantly different between 4–6 y and 6–8y-group. This comparative study underscores the ability of degree centrality as a developing innovative measure to perform eye-tracking data analyses. Nature Publishing Group UK 2020-05-08 /pmc/articles/PMC7210284/ /pubmed/32385289 http://dx.doi.org/10.1038/s41598-020-63951-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yazdan-Shahmorad, Padideh Sammaknejad, Negar Bakouie, Fatemeh Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title | Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title_full | Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title_fullStr | Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title_full_unstemmed | Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title_short | Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images |
title_sort | graph-based analysis of visual scanning patterns: a developmental study on green and normal images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210284/ https://www.ncbi.nlm.nih.gov/pubmed/32385289 http://dx.doi.org/10.1038/s41598-020-63951-3 |
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