2025
Zhou, Xiaofei, Zhang, Yi, Jiang, Yufei, Gong, Yunfan, Zhang, Chi, Antle, Alissa N., Bai, Zhen
Briteller: Shining a Light on AI Recommendations for Children Proceedings Article
In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2025, ISBN: 9798400713941.
Abstract | Links | BibTeX | Tags: AI Literacy, augmented reality, embodied learning, Optical Computing, tangible user interface
@inproceedings{nokey,
title = {Briteller: Shining a Light on AI Recommendations for Children},
author = {Zhou, Xiaofei and Zhang, Yi and Jiang, Yufei and Gong, Yunfan and Zhang, Chi and Antle, Alissa N. and Bai, Zhen},
url = {https://doi.org/10.1145/3706598.3714106},
doi = {10.1145/3706598.3714106},
isbn = {9798400713941},
year = {2025},
date = {2025-04-25},
urldate = {2025-04-25},
booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
publisher = {Association for Computing Machinery},
series = {CHI '25},
abstract = {Understanding how AI recommendations work can help the younger generation become more informed and critical consumers of the vast amount of information they encounter daily. However, young learners with limited math and computing knowledge often find AI concepts too abstract. To address this, we developed Briteller, a light-based recommendation system that makes learning tangible. By exploring and manipulating light beams, Briteller enables children to understand an AI recommender system’s core algorithmic building block, the dot product, through hands-on interactions. Initial evaluations with ten middle school students demonstrated the effectiveness of this approach, using embodied metaphors, such as "merging light" to represent addition. To overcome the limitations of the physical optical setup, we further explored how AR could embody multiplication, expand data vectors with more attributes, and enhance contextual understanding. Our findings provide valuable insights for designing embodied and tangible learning experiences that make AI concepts more accessible to young learners},
keywords = {AI Literacy, augmented reality, embodied learning, Optical Computing, tangible user interface},
pubstate = {published},
tppubtype = {inproceedings}
}
Understanding how AI recommendations work can help the younger generation become more informed and critical consumers of the vast amount of information they encounter daily. However, young learners with limited math and computing knowledge often find AI concepts too abstract. To address this, we developed Briteller, a light-based recommendation system that makes learning tangible. By exploring and manipulating light beams, Briteller enables children to understand an AI recommender system’s core algorithmic building block, the dot product, through hands-on interactions. Initial evaluations with ten middle school students demonstrated the effectiveness of this approach, using embodied metaphors, such as "merging light" to represent addition. To overcome the limitations of the physical optical setup, we further explored how AR could embody multiplication, expand data vectors with more attributes, and enhance contextual understanding. Our findings provide valuable insights for designing embodied and tangible learning experiences that make AI concepts more accessible to young learners