Analyzing the Behavior of Autistic and Normal Developing Children Using Eye Tracking Data
Document Type
Conference Proceeding
Source of Publication
Advances in Intelligent Systems and Computing
Publication Date
1-1-2018
Abstract
© 2018, Springer Nature Singapore Pte Ltd. In this paper, we have utilized the eye tracking technology to analyze and compare the gaze pattern of autistic and normal developing children. We have used and combined different stimuli (banana, tomato, football and a child’s face). Within the child’s face we have defined two areas of interest (AOI) namely: face-eyes and face-mouth. 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 look at different objects and in particular, the face.
DOI Link
ISBN
9789811086113
ISSN
Publisher
Springer Verlag
Volume
739
First Page
340
Last Page
349
Disciplines
Life Sciences
Keywords
ASD, Autism, Computational Approach, Eye Tracking, Information Visualization. Human Expression and Recognition
Scopus ID
Recommended Citation
Almourad, Mohamed Basel; Bataineh, Emad; Stocker, Joana; and Marir, Farhi, "Analyzing the Behavior of Autistic and Normal Developing Children Using Eye Tracking Data" (2018). All Works. 503.
https://zuscholars.zu.ac.ae/works/503
Indexed in Scopus
yes
Open Access
no