Characteristics of Facial Emotion Recognition in Children Aged 7-8 with High-Functioning ASD Using an Eye-Tracker

Author:

Lim Da-HyeORCID,Hong Gyung-HunORCID

Abstract

Objectives: The purpose of the present study was to investigate characteristics of peer’s facial emotion recognition (FER) in children with high-functioning autism spectrum disorder (HF-ASD) through gaze patterns; and to suggest implications through comparison with typically developing (TD children). Methods: The participants were 10 children with HF-ASD aged 7-8 years and 10 children with TD matched on chronological age. Children performed FER tasks consisting of two types of stimuli (static, dynamic) for four basic emotions (happy, sad, anger, surprise) and their eye movement were measured while they performed the task using an eye-tracker. The emotion recognition accuracy, proportion of fixation, and heatmap were analyzed, and correlation analysis was conducted. Results: The HF-ASD group performed significantly poorer than the TD group in overall emotion recognition and made significantly more errors only in anger. There was no statistically significant difference in emotion recognition between static and dynamic stimuli in both groups. There was no interaction effect between group and emotion type and areas of interest (AOI). Only the interaction effect between emotion type and AOI was significant in the TD group. The HF-ASD group tended to look more at the mouth than the eyes and look relatively more at non-feature area of the faces compared to the TD group. These gaze patterns seem to affect the accuracy depending on emotion types. Conclusion: Children with HF-ASD have deficits in FER and show gaze patterns different with TD peers. The results of this study suggest that a deficit in FER of children with HF-ASD is related to gaze pattern.

Publisher

Korean Academy of Speech-Language Pathology and Audiology

Subject

Speech and Hearing,Linguistics and Language,Communication

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3