Abstract
與典型發育 (TD) 兒童相比,患有自閉症譜系障礙 (ASD) 的兒童普遍會出現非典型眼球注視的症狀。眼動追蹤是目前篩查自閉症的重要工具之一,但由於診斷成本高昂、過程繁複耗時且有誤診的可能性,因此需要一種成本較低、省時和容易執行的方法來分析患者的凝視型態。
這項研究的目的為開發一款智能手機應用程式,透過分析觀看影片時眼球的凝視型態篩檢ASD兒童。研究人員以18-24 個月大的幼兒為實驗組,利用平板電腦收集和比較ASD和TD幼兒的眼球數據。該研究不單為開發自閉症篩檢工具提供了實證的基礎,所收集的數據亦有利於將來發展程式的機器學習演算法,令篩檢過程更準確。
Children with autism spectrum disorders (ASD) exhibit atypical gaze patterns comparing with their counterparts with typical development (TD). Therefore, eye gaze analysis is a promising tool in autism screening. Current eye-tracking methods are often time-consuming with calibrations and are expensive with special equipment and professional personnel. There is a need for a less costly, less time-consuming and easy-to-implement methods for analyzing eye gaze.
The objective of this ongoing study is to develop and evaluate whether a mobile app that displays two specially designed video clips can identify the differences in gaze patterns between children with ASD and children with TD. Children aged 18-24 months are currently recruited from special and normal pre-nursery schools or parents’ referrals. By viewing strategically designed video clips through a tablet, gaze patterns are collected, analyzed and quantified between children with ASD and children with TD. The findings of this proposed study can serve as a foundation for developing a potential autism screening tool using mobile app and the data sets generated by this study will be used for machine learning in the future. Copyright © 2022 EDTECH Conference.
這項研究的目的為開發一款智能手機應用程式,透過分析觀看影片時眼球的凝視型態篩檢ASD兒童。研究人員以18-24 個月大的幼兒為實驗組,利用平板電腦收集和比較ASD和TD幼兒的眼球數據。該研究不單為開發自閉症篩檢工具提供了實證的基礎,所收集的數據亦有利於將來發展程式的機器學習演算法,令篩檢過程更準確。
Children with autism spectrum disorders (ASD) exhibit atypical gaze patterns comparing with their counterparts with typical development (TD). Therefore, eye gaze analysis is a promising tool in autism screening. Current eye-tracking methods are often time-consuming with calibrations and are expensive with special equipment and professional personnel. There is a need for a less costly, less time-consuming and easy-to-implement methods for analyzing eye gaze.
The objective of this ongoing study is to develop and evaluate whether a mobile app that displays two specially designed video clips can identify the differences in gaze patterns between children with ASD and children with TD. Children aged 18-24 months are currently recruited from special and normal pre-nursery schools or parents’ referrals. By viewing strategically designed video clips through a tablet, gaze patterns are collected, analyzed and quantified between children with ASD and children with TD. The findings of this proposed study can serve as a foundation for developing a potential autism screening tool using mobile app and the data sets generated by this study will be used for machine learning in the future. Copyright © 2022 EDTECH Conference.
Original language | Chinese (Traditional) |
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Publication status | Published - Jun 2022 |
Event | EDTECH Conference 2022: Inspiring & Emerging EDTECH in Special Education = EDTECH教育科技研討會2022:特殊教育科技的創新和發展 - , Hong Kong Duration: 09 Jun 2022 → 10 Jun 2022 https://www.eduhk.hk/iwell/en/projects/edtech/rundown.html |
Conference
Conference | EDTECH Conference 2022: Inspiring & Emerging EDTECH in Special Education = EDTECH教育科技研討會2022:特殊教育科技的創新和發展 |
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Country/Territory | Hong Kong |
Period | 09/06/22 → 10/06/22 |
Internet address |
Citation
謝采揚 (2022年6月) :早期識別自閉症:手機應用程式的開發和研究,論文發表於「EDTECH教育科技研討會2022:特殊教育科技的創新和發展」,香港,中國。Keywords
- Alt. title: Developing a mobile app for early identification of autism