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Article
Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach
ACM International Conference Proceeding Series
  • Mohamed Basel Almourad, Zayed University
  • Emad Bataineh, Zayed University
Document Type
Conference Proceeding
Publication Date
10-26-2019
Abstract

© 2019 ACM. In this paper, we have utilized the eye tracking technology to analyze and compare the behavior of autistic and normal developing children when they are trying to capture and locate human faces embedded in different stimuli. We have defined three areas of interest that reflect the position of human faces within the stimuli. Various metrics are used to analyze the difference in behavior between the two groups. The findings provide results to the non-typical ways in which autistic children identify human faces.

ISBN
9781450372534
Publisher
Association for Computing Machinery
Disciplines
Keywords
  • ASD,
  • Autism,
  • Computational Approach,
  • Eye Tracking,
  • Human Expression and Recognition,
  • Information Visualization
Scopus ID
85079094750
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1145/3369114.3369122
Citation Information
Mohamed Basel Almourad and Emad Bataineh. "Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach" ACM International Conference Proceeding Series (2019) p. 221 - 226
Available at: http://works.bepress.com/emad-bataineh/22/