Eggly: Designing Mobile Augmented Reality Neurofeedback Training Games for Children with Autism Spectrum Disorder
Yue Lyu, Pengcheng An, Yage Xiao, Zibo Zhang, Huan Zhang, Keiko Katsuragawa, Jian Zhao
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects how children communicate and relate to other people and the world around them. Emerging studies have shown that neurofeedback training (NFT) games are an effective and playful intervention to enhance social and attentional capabilities for autistic children. However, NFT is primarily available in a clinical setting that is hard to scale. Also, the intervention demands deliberately-designed gamified feedback with fun and enjoyment, where little knowledge has been acquired in the HCI community. Through a ten-month iterative design process with four domain experts, we developed Eggly, a mobile NFT game based on a consumer-grade EEG headband and a tablet. Eggly uses novel augmented reality (AR) techniques to offer engagement and personalization, enhancing their training experience. We conducted two field studies (a single-session study and a three-week multi-session study) with a total of five autistic children to assess Eggly in practice at a special education center. Both quantitative and qualitative results indicate the effectiveness of the approach as well as contribute to the design knowledge of creating mobile AR NFT games.
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Install the CLIlune papers fulltext e4c8354a-dec1-4dbf-8a1e-98fc10e3f424Cited by top-tier papers2
- EMooly: Supporting Autistic Children in Collaborative Social-Emotional Learning with Caregiver Participation through Interactive AI-infused and AR ActivitiesYue Lyu, Di Liu, Pengcheng An, Xin Tong et al.UbiComp 2025 · 37 citations
- CoplayingVR: Understanding User Experience in Shared Control in Virtual RealityHongyu Zhou, Treshan Ayesh Peirispulle, Chenyu Fan, Zhanna Sarsenbayeva et al.UbiComp 2024 · 13 citations
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