Responses to Sad Emotion in Autistic and Normal Developing Children: Is There a Difference?

Q3 Computer Science 中国图象图形学报 Pub Date : 2023-03-01 DOI:10.18178/joig.11.1.40-46
Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar
{"title":"Responses to Sad Emotion in Autistic and Normal Developing Children: Is There a Difference?","authors":"Mohamed Basel Almourad, Emad Bataineh, Zelal Wattar","doi":"10.18178/joig.11.1.40-46","DOIUrl":null,"url":null,"abstract":"This paper describes how the gazing pattern differ between the responses of Normal Developing (ND) and Autistic (AP) children to sad emotion. We employed an eye tracking technology to collect and track the participants’ eye movements by showing a dynamic stimulus (video) that showed a gradual transition from pale emotions to melancholy facial expressions in both female and male faces. The location of the child's gaze in the stimulus was the focus of our data analysis. We deduced that there was a distinction between the two groups based on this. ND children predominantly concentrated on the eyes and mouth region of both male and female sad faces, but AP children showed no interest in these areas by glancing away from the stimuli faces. Based on the findings, an ideal eye tracking model for early ASD diagnosis can be constructed. This will aid in the early treatment of Autism children as well as the development of socio-cognitive skills.","PeriodicalId":36336,"journal":{"name":"中国图象图形学报","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国图象图形学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.18178/joig.11.1.40-46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 3

Abstract

This paper describes how the gazing pattern differ between the responses of Normal Developing (ND) and Autistic (AP) children to sad emotion. We employed an eye tracking technology to collect and track the participants’ eye movements by showing a dynamic stimulus (video) that showed a gradual transition from pale emotions to melancholy facial expressions in both female and male faces. The location of the child's gaze in the stimulus was the focus of our data analysis. We deduced that there was a distinction between the two groups based on this. ND children predominantly concentrated on the eyes and mouth region of both male and female sad faces, but AP children showed no interest in these areas by glancing away from the stimuli faces. Based on the findings, an ideal eye tracking model for early ASD diagnosis can be constructed. This will aid in the early treatment of Autism children as well as the development of socio-cognitive skills.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自闭症儿童和正常发育儿童对悲伤情绪的反应:有区别吗?
本文研究了正常发育儿童(ND)和自闭症儿童(AP)对悲伤情绪的凝视方式的差异。我们采用了眼动追踪技术,通过展示一个动态刺激(视频)来收集和跟踪参与者的眼球运动,这个动态刺激(视频)显示了女性和男性面部从苍白的情绪逐渐过渡到忧郁的面部表情。孩子的目光在刺激中的位置是我们数据分析的重点。根据这一点,我们推断出两组人之间存在差异。ND儿童主要将注意力集中在男性和女性悲伤面孔的眼睛和嘴巴区域,而AP儿童则对这些区域不感兴趣,目光从刺激面部移开。在此基础上,可以构建较为理想的ASD早期诊断眼动追踪模型。这将有助于自闭症儿童的早期治疗以及社会认知技能的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
中国图象图形学报
中国图象图形学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.20
自引率
0.00%
发文量
6776
期刊介绍: Journal of Image and Graphics (ISSN 1006-8961, CN 11-3758/TB, CODEN ZTTXFZ) is an authoritative academic journal supervised by the Chinese Academy of Sciences and co-sponsored by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (ISIAS), the Chinese Society of Image and Graphics (CSIG), and the Beijing Institute of Applied Physics and Computational Mathematics (BIAPM). The journal integrates high-tech theories, technical methods and industrialisation of applied research results in computer image graphics, and mainly publishes innovative and high-level scientific research papers on basic and applied research in image graphics science and its closely related fields. The form of papers includes reviews, technical reports, project progress, academic news, new technology reviews, new product introduction and industrialisation research. The content covers a wide range of fields such as image analysis and recognition, image understanding and computer vision, computer graphics, virtual reality and augmented reality, system simulation, animation, etc., and theme columns are opened according to the research hotspots and cutting-edge topics. Journal of Image and Graphics reaches a wide range of readers, including scientific and technical personnel, enterprise supervisors, and postgraduates and college students of colleges and universities engaged in the fields of national defence, military, aviation, aerospace, communications, electronics, automotive, agriculture, meteorology, environmental protection, remote sensing, mapping, oil field, construction, transportation, finance, telecommunications, education, medical care, film and television, and art. Journal of Image and Graphics is included in many important domestic and international scientific literature database systems, including EBSCO database in the United States, JST database in Japan, Scopus database in the Netherlands, China Science and Technology Thesis Statistics and Analysis (Annual Research Report), China Science Citation Database (CSCD), China Academic Journal Network Publishing Database (CAJD), and China Academic Journal Network Publishing Database (CAJD). China Science Citation Database (CSCD), China Academic Journals Network Publishing Database (CAJD), China Academic Journal Abstracts, Chinese Science Abstracts (Series A), China Electronic Science Abstracts, Chinese Core Journals Abstracts, Chinese Academic Journals on CD-ROM, and China Academic Journals Comprehensive Evaluation Database.
期刊最新文献
Roselle Pest Detection and Classification Using Threshold and Template Matching Human Action Recognition with Skeleton and Infrared Fusion Model Melanoma Detection Based on SVM Using MATLAB Evaluation of SSD Architecture for Small Size Object Detection: A Case Study on UAV Oil Pipeline MonitoringEvaluation of SSD Architecture for Small Size Object Detection: A Case Study on UAV Oil Pipeline Monitoring Improving Brain Tumor Classification Efficacy through the Application of Feature Selection and Ensemble Classifiers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1