Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach
Document Type
Conference Proceeding
Source of Publication
ACM International Conference Proceeding Series
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.
DOI Link
ISBN
9781450372534
Publisher
Association for Computing Machinery
First Page
221
Last Page
226
Disciplines
Computer Sciences | Psychology
Keywords
ASD, Autism, Computational Approach, Eye Tracking, Human Expression and Recognition, Information Visualization
Scopus ID
Recommended Citation
Almourad, Mohamed Basel and Bataineh, Emad, "Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach" (2019). All Works. 993.
https://zuscholars.zu.ac.ae/works/993
Indexed in Scopus
yes
Open Access
no