SCENIC: A Location-based System to Foster Cognitive Development in Children During Car Rides
Liuqing Chen, Yaxuan Song, Ke Lyu, Shuhong Xiao, Yilang Shen, Lingyun Sun
Abstract
Car-riding is common for children in modern life, and given the repetitive nature of daily commutes, they often feel bored, which in turn leads them to rely on electronic devices for entertainment. Meanwhile, the rich and rapidly changing scenery outside the car naturally attracts children's curiosity, providing abundant resources for cognitive development. Our formative study reveals that parents' support during car rides is often fleeting, as accompanying adults may struggle to consistently provide effective guidance to nurture children's innate curiosity. Therefore, we propose SCENIC, an interactive system that guides children aged 6-11 to better perceive the external environment through location-based cognitive development strategies. Specifically, we built upon the experiential approaches used by parents, culminating in the formulation of six cognitive development strategies integrated into SCENIC. Additionally, considering the repetitive nature of car commutes, SCENIC incorporates features of dynamic POI selection and journey gallery generation to improve children's engagement. We evaluated the quality of SCENIC's generated content (N=21) and conducted an in-situ user evaluation involving seven families and ten children. Study findings suggest that SCENIC can enhance the car riding experience for children and help them better perceive the external environment through cognitive development strategies.
• Applied computing → Computer-assisted instruction; • Human-centered computing → Ubiquitous and mobile computing systems and tools; User studies.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 7c25f7c0-6dee-4548-a15b-7510ede5e3f4Builds on10
- StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental InvolvementZheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao et al.CHI 2022 · 168 citations
- StoryDrawer: A Child-AI Collaborative Drawing System to Support Children's Creative Visual StorytellingChao Zhang, Cheng Yao, Jiayi Wu, Weijia Lin et al.CHI 2022 · 112 citations
- Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative StorytellingChao Zhang, Xuechen Liu, Katherine Ziska, Soobin Jeon et al.CHI 2024 · 93 citations
- ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12Liuqing Chen, Shuhong Xiao, Yunnong Chen, Yaxuan Song et al.CHI 2024 · 56 citations
- MathKingdom: Teaching Children Mathematical Language Through Speaking at Home via a Voice-Guided GameWenjie Xu, Jiayi Ma, Jiayu Yao, Weijia Lin et al.CHI 2023 · 26 citations
Related papers
- Captivate! Contextual Language Guidance for Parent-Child InteractionTaeahn Kwon, Minkyung Jeong, Eon-Suk Ko, Youngki LeeCHI 2022 · 27 citations
- Are Current Voice Interfaces Designed to Support Children's Language Development?Ying Xu, Stacy M. Branham, Xinwei Deng, Penelope Collins et al.CHI 2021 · 25 citations
- Designing Immersive, Narrative-Based Interfaces to Guide Outdoor LearningAlan Y. Cheng, Jacob Ritchie, Niki Agrawal, Elizabeth Childs et al.CHI 2023 · 12 citations
- SparkTales: Facilitating Cross-Language Collaborative Storytelling through Coordinator-AI CollaborationWenxin Zhao, Peng Zhang, Hansu Gu, Haoxuan Zhou et al.CHI 2026 · 1 citation
- Story-Driven: Exploring the Impact of Providing Real-time Context Information on Automated StorytellingJan Henry Belz, Lina Madlin Weilke, Anton Winter, Philipp Hallgarten et al.UIST 2024 · 15 citations
