inter.play lab

Research Assistant Yi Zhang adjusts a 3D-printed optical device that, when paired with augmented reality, is designed to help children understand how artificial intelligence is used in preference selection, in the lab of Assistant Professor of Computer Science Zhen Bai in Wegmans Hall October 11, 2024. // photo by J. Adam Fenster / University of Rochester

Yifan Li (L), a computer science PhD student, and Wenyao Gao ’26, a computer science and brain and cognitive sciences student, test the Tabletop Interactive Play System (TIPS), which uses augmented reality and artificial intelligence to help parents learn American Sign Language as they interact with their Deaf and hard-of-hearing children, in the lab of Assistant Professor of Computer Science Zhen Bai in Wegmans Hall October 11, 2024. // photo by J. Adam Fenster / University of Rochester

At the Edmund A. Hajim Science & Engineering Quadrangle, computer science PhD student Shutong Wu demonstrates BeeTrap, an augmented reality program developed by the lab of Assistant Professor of Computer Science Zhen Bai to help children understand concepts related to artificial intelligence and preference selection October 11, 2024. // photo by J. Adam Fenster / University of Rochester

Data science master’s student Yvett Sa (L) and computer science PhD candidate James Spann test a tablet version of the Tabletop Interactive Play System (TIPS), which uses augmented reality and artificial intelligence to help parents learn American Sign Language as they interact with their Deaf and hard-of-hearing children, in the lab of Assistant Professor of Computer Science Zhen Bai in Wegmans Hall October 11, 2024. // photo by J. Adam Fenster / University of Rochester

Lab News

Our AIED’25 paper and Late-Breaking-Result received best paper and LBR nominations.

Selected Publications

Empower Secondary School Teachers to Create ML-Supported Inquiry-Based Learning Activities

Xiaofei Zhou, Hanjia Lyu, Yuxin Sa, Mengfan Li, Advait Sarkar, Jiebo Luo, Michael Daley, and Zhen Bai.

Co-Design Analogical and Embodied Representations with Children for Child-Centered AI Learning Experiences

Xiaofei Zhou, Yunfan Gong, Yushan Zhou, Yufei Jiang, Zhen Bai

CoSignPlay: A Collaborative Approach to Learning Non-Manual Signs in ASL for Hearing Families with Deaf Children

Xuanyu Liu, Hsin-Le Cheng, Guillaume Chastel, Margaret Chastel, Zhen Bai

Leveraging Usefulness and Autonomy: Designing AI-Mediated ASL Communication Between Hearing Parents and Deaf Children

Yifan Li, Hecong Wang, Ekram Hossain, Madeleine Mann, Jingyan Yu, Kaleb Slater Newman, Ashley Bao, Athena Wilson, Chigusa Kuramada, Wyatte C Hall, Zhen Bai

Briteller: Shining a Light on AI Recommendation for Children

Xiaofei Zhou, Yi Zhang, Yufei Jiang, Yunfan Gong, Chi Zhang, Alissa N. Antle, Zhen Bai

“Bee and I Need Diversity!” Break Filter Bubbles in Recommendation Systems through Embodied AI Learning

Xiaofei Zhou, Yushan Zhou, Yunfan Gong, Zhenyao Cai, Annie Qiu, Qinqin Xiao, Alissa N. Antle, Zhen Bai

Supporting Multidimensional Data Analysis for High-School Students in the Era of Machine Learning

Xiaofei Zhou, Jinwan Tang, Qinqin Xiao, Yushan Zhou, Zhen Bai

Signing-on-the-Fly: Technology Preferences to Reduce Communication Gap between Hearing Parents and Deaf Children

Zhen Bai, Elizabeth M. Codick, Ashely Tenesaca, Wanyin Hu, Xiurong Yu, Peirong Hao, Chigusa Kurumada, Wyatte Hall

“Now, I Want to Teach It for Real!”: Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers

Xiaofei Zhou, Jingwan Tang, Michael Daley, Saad Ahmad, and Zhen Bai

SmileyCluster: Supporting Accessible Machine Learning in
K-12 Scientific Discovery

Xiaoyu Wan, Xiaofei Zhou, Zaiqiao Ye, Chase K. Mortensen, Zhen Bai