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postgraduate thesis: Effect of mask on emotion recognition in children with autism spectrum disorder
Title | Effect of mask on emotion recognition in children with autism spectrum disorder |
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Authors | |
Issue Date | 2022 |
Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
Citation | Cheung, S. H. [張素嫻]. (2022). Effect of mask on emotion recognition in children with autism spectrum disorder. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. |
Abstract | During the COVID-19 pandemic, wearing face masks is used as an effective measure to suppress the transmission of coronaviruses. Previous studies have revealed that mask use impaired emotion recognition of children and adults. The current study aimed to examine the effect of mask use on emotion recognition performance and pattern and consistency of eye movement of children with Autism Spectrum Disorder (ASD), compared with typically developing (TD) children. Both the ASD and TD groups had impaired performance in the emotion recognition task when recognizing masked faces, i.e. lower accuracy and longer response time. When recognizing masked faces, both groups tended to adopt a more eye-focused pattern with more consistent gaze transition behaviour. Finally, the findings suggested that recognition performance and eye movement pattern change due to mask use during emotion recognition task had a weak to medium correlation with AQ scores for children with ASD, particularly when recognizing sadness and anger.
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Degree | Master of Social Sciences |
Subject | Emotion recognition Children with autism spectrum disorders |
Dept/Program | Educational Psychology |
Persistent Identifier | http://hdl.handle.net/10722/327910 |
DC Field | Value | Language |
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dc.contributor.author | Cheung, So Han | - |
dc.contributor.author | 張素嫻 | - |
dc.date.accessioned | 2023-06-05T03:47:09Z | - |
dc.date.available | 2023-06-05T03:47:09Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Cheung, S. H. [張素嫻]. (2022). Effect of mask on emotion recognition in children with autism spectrum disorder. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. | - |
dc.identifier.uri | http://hdl.handle.net/10722/327910 | - |
dc.description.abstract | During the COVID-19 pandemic, wearing face masks is used as an effective measure to suppress the transmission of coronaviruses. Previous studies have revealed that mask use impaired emotion recognition of children and adults. The current study aimed to examine the effect of mask use on emotion recognition performance and pattern and consistency of eye movement of children with Autism Spectrum Disorder (ASD), compared with typically developing (TD) children. Both the ASD and TD groups had impaired performance in the emotion recognition task when recognizing masked faces, i.e. lower accuracy and longer response time. When recognizing masked faces, both groups tended to adopt a more eye-focused pattern with more consistent gaze transition behaviour. Finally, the findings suggested that recognition performance and eye movement pattern change due to mask use during emotion recognition task had a weak to medium correlation with AQ scores for children with ASD, particularly when recognizing sadness and anger. | - |
dc.language | eng | - |
dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject.lcsh | Emotion recognition | - |
dc.subject.lcsh | Children with autism spectrum disorders | - |
dc.title | Effect of mask on emotion recognition in children with autism spectrum disorder | - |
dc.type | PG_Thesis | - |
dc.description.thesisname | Master of Social Sciences | - |
dc.description.thesislevel | Master | - |
dc.description.thesisdiscipline | Educational Psychology | - |
dc.description.nature | published_or_final_version | - |
dc.date.hkucongregation | 2022 | - |
dc.identifier.mmsid | 991044664304903414 | - |