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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.12526 |
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| _version_ | 1866916619225137152 |
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| author | Tsang, Shiya Miao, Ruiyao Xiao, Junren Xiong, Hui |
| author_facet | Tsang, Shiya Miao, Ruiyao Xiao, Junren Xiong, Hui |
| contents | Cartoon videos have proven to be effective in learning vocabulary to preschool children.However, we have little knowledge about integrating AI into cartoon videos to provide systematic, multimodal vocabulary learning support. This late-breaking work present \name{}, an AI-powered cartoon video system that enables real-time Q\&A, vocabulary review, and contextual learning. Preliminary findings contextualized how families interact with \name{} to support vocabulary learning. Parents appreciated the system for its personalized, engaging experiences, fostering collaboration, and encouraging self-reflection on parenting. This study offers valuable design implications for informing future video systems to support vocabulary learning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_12526 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AnimAlte:Designing AI-Infused Cartoon Videos to Improve Preschoolers' Language Learning with Family Engagement at Home Tsang, Shiya Miao, Ruiyao Xiao, Junren Xiong, Hui Human-Computer Interaction Cartoon videos have proven to be effective in learning vocabulary to preschool children.However, we have little knowledge about integrating AI into cartoon videos to provide systematic, multimodal vocabulary learning support. This late-breaking work present \name{}, an AI-powered cartoon video system that enables real-time Q\&A, vocabulary review, and contextual learning. Preliminary findings contextualized how families interact with \name{} to support vocabulary learning. Parents appreciated the system for its personalized, engaging experiences, fostering collaboration, and encouraging self-reflection on parenting. This study offers valuable design implications for informing future video systems to support vocabulary learning. |
| title | AnimAlte:Designing AI-Infused Cartoon Videos to Improve Preschoolers' Language Learning with Family Engagement at Home |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.12526 |