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Visual attention toward Socially Rich context information for Autism Spectrum Disorder (ASD) and Normal Developing Children: An Eye Tracking Study

Published: 19 November 2018 Publication History

Abstract

The paper presents an eye tracking analysis study to help us understand the visual behavior and pattern of Normal Developing children and Autistic children while viewing a socially-rich stimulus consists of human and social interactions. An eye tracking experiment consists of displaying different images with social stimuli (containing human faces) to the child and the eye tracker captured and tracked the child's eye gaze movements, then analyzed to identify where specifically in the stimulus is the child looking at. The finding indicates a significant difference was found between the two groups viewing patterns and behavior when were presented with a scene included material with human and social interaction content. The study also reveals that large percentage of Autistic participants expressed minimum interest and time looking at face area, evident by significant time spent fixations on non-face regions, linking to lack of interest in socially relevant information, especially the two small Areas of Interests (AOIs) eyes and mouth regions comparing to the normal developing children. The results can be used to improve the life style of other children who have a risk to develop Autism as well as discover earlier signs of ASD.

References

[1]
Ana Susac, Andreja Bubic, Jurica Kaponja, Maja Planinic, and Marijan Palmovic, "Eye Movements Reveal Students' strategies in Simple Equation Solving," Int. Jrnl. of Science & Mathematics Education, vol. 12, pp. 555--577, 2014.
[2]
L. L. Speer, A. E. Cook, W. M. McMahon, and E. Clark, "Face processing in children with autism: effects of stimulus contents and type," Autism: the international journal of research and practice, vol. 11, May 2007,
[3]
Anam Rizvi, Autism being wrongly diagnosed, Sep. 2017.
[4]
K. Rayner, "Eye movements in reading and information processing: 20 years of research," Psychological bulletin, vol. 124, pp. 372--422, Nov. 1998
[5]
K. Rayner, "Eye movements in reading and information processing," Psychological bulletin, vol. 85, pp. 618--660, May 1978.
[6]
K. A. Pelphrey et al., "Visual scanning of faces in autism," Journal of Autism and Developmental Disorders, vol. 32, pp. 249--261, Aug. 2002
[7]
Bing Pan et al., "The Determinants of Web Page Viewing Behavior: An Eye-tracking Study,", New York, NY, USA, 2004, pp. 147--154.
[8]
Ami Klin, David J. Lin, Phillip Gorrindo, Gordon Ramsay, and Warren Jones, "Two-year-olds with autism orient to nonsocial contingencies rather than biological motion," Nature, vol. 459, pp. 257--261, 2009
[9]
A. Klin, W. Jones, R. Schultz, F. Volkmar, and D. Cohen, "Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism," Archives of General Psychiatry, vol. 59, Sep. 2002
[10]
J. N. Geest, C. Kemner, G. Camfferman, M. N. Verbaten, and H. Engeland, "Looking at images with human figures: comparison between autistic and normal children," Journal of Autism and Developmental Disorders, vol. 32, Apr. 2002
[11]
J. N. Geest, C. Kemner, M. N. Verbaten, and H. Engeland, "Gaze behavior of children with pervasive developmental disorder toward human faces: a fixation time study," Jrnl. of child psychology & psychiatry, & allied disciplines, vol. 43, July 2002
[12]
T. W. Frazier et al., "A Meta-Analysis of Gaze Differences to Social and Nonsocial Information Between Individuals With and Without Autism," Journal of the American Academy of Child and Adolescent Psychiatry, vol. 56, pp. 546--555, July 2017
[13]
J. Fedor et al., "Patterns of fixation during face recognition: Differences in autism across age," Autism: the Int. journl of research and practice, Aug. 2017
[14]
Terje Falck-Ytter, Erik Rehnberg, and Sven Bölte, "Lack of visual orienting to biological motion and audiovisual synchrony in 3-year-olds with autism," vol. 8, 2013. {Online}. http://www.ncbi.nlm.nih.gov/ /23861945
[15]
Andrew Duchowski, Eye Tracking Methodology - Theory and Practice | Andrew Duchowski | Springer.: Springer-Verlag London, 2007.
[16]
Suchitra Bajpai Chaudhary, The rise of autism in the UAE, http://gulfnews.com/leisure/health/the-rise-of-autism-in-the-uae11, May 2012.

Cited By

View all
  • (2024)ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technologyIET Computer Vision10.1049/cvi2.12271Online publication date: 12-Feb-2024
  • (2023)Rendimiento de los estímulos visuales en el diagnóstico del TEA por Eye Tracking: Revisión SistemáticaRevista de Investigación en Logopedia10.5209/rlog.8393713:1(e83937)Online publication date: 3-Feb-2023
  • (2022)Dynamic Facial Recognition in Autism: The Case of Happy Face Expression2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)10.1109/ICTACSE50438.2022.10009884(99-104)Online publication date: 29-Sep-2022
  • Show More Cited By

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cover image ACM Other conferences
MoMM2018: Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia
November 2018
157 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Johannes Kepler University, Linz, Austria
  • @WAS: International Organization of Information Integration and Web-based Applications and Services
  • Johannes Kepler University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2018

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Author Tags

  1. Socially relevant information
  2. Visual behavior
  3. face recognition

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Cited By

View all
  • (2024)ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technologyIET Computer Vision10.1049/cvi2.12271Online publication date: 12-Feb-2024
  • (2023)Rendimiento de los estímulos visuales en el diagnóstico del TEA por Eye Tracking: Revisión SistemáticaRevista de Investigación en Logopedia10.5209/rlog.8393713:1(e83937)Online publication date: 3-Feb-2023
  • (2022)Dynamic Facial Recognition in Autism: The Case of Happy Face Expression2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)10.1109/ICTACSE50438.2022.10009884(99-104)Online publication date: 29-Sep-2022
  • (2021)Classification of Autism Spectrum Disorder Severity Using Eye Tracking Data Based on Visual Attention Model2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS52027.2021.00062(142-147)Online publication date: Jun-2021
  • (2020)A Review of Early Detection of Autism Based on Eye-Tracking and Sensing Technology2020 International Conference on Inventive Computation Technologies (ICICT)10.1109/ICICT48043.2020.9112493(160-166)Online publication date: Feb-2020

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