Comparing the behaviour of human face capturing attention of autistic & normal developing children using eye tracking data analysis approach

Author First name, Last name, Institution

Mohamed Basel Almourad, Zayed University
Emad Bataineh, Zayed UniversityFollow

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

10.1145/3369114.3369122

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

85079094750

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