Reshaping Craft Learning: Insights from Designing an AI-Augmented MR System for Wheel-Throwing

Peiyu (Steve) Hu, Daniel Cardoso Llach, and Dina El-Zanfaly at Carnegie Mellon University co-designed an AI-augmented MR ceramic guiding system to investigate the interplay between these technologies and craft practices, including how they influence instruction design, shape user perception, and transform learning contexts. Their system provides immersive multimedia instruction and real-time shape-based feedback using computer vision and large language models (LLMs) to guide learners in wheel-throwing on a pottery wheel. Through a Research-through-Design process, we co-designed and evaluated the system with twenty novices and experienced ceramic practitioners. We offer design insights for AI-MR craft learning systems and identify opportunities to extend their application to creative, collaborative, and broader craft-making scenarios.”

This project was made possible with support from the Frank-Ratchye Further Fund Grant #2022-038.

Read Publications by the PI’s:

Reshaping craft learning

Bridging the Gap