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Make AI understandable.

Research Focus

01

Foundational AI Literacy

Making the invisible processes behind generative AI understandable through interactive game systems.

02

Critical AI Literacy

Helping players recognize the limitations, risks, and societal implications of AI through experiential learning.

03

AI Learning Through Play

Exploring how game-based learning can make AI education more engaging, accessible, and meaningful.

What we're currently investigating

Q1

How do players build mental models of generative AI through gameplay?

Instead of memorizing technical terminology, can players develop an intuitive understanding of prompts, moderation, tokenization, and other AI processes by interacting with them inside a game world?

Q2

How does perspective shifting influence critical AI literacy?

Does experiencing both the internal operation of an AI system and the consequences for its users encourage deeper reflection on AI limitations and ethical responsibility?

Q3

How can an evolving game platform support long-term AI literacy research?

Can a chapter-based game world provide a sustainable framework for studying different AI concepts over time while continuously expanding educational content?

Publication

CHI PLAY
Companion '26
Work-in-Progress

TokenVerse: A Game-Based Learning Experience for Understanding Large Language Models and Human–AI Interaction Risks

Huang, H., Gumagay, K., Zhang, Y., Timberlake, J., Lin, C., Khatwani, V., Tabor, J., Wei, T., She, S., Magerko, B. · 2026