Teaching: Interaction Intelligence at MIT
Type
Teaching /
Professional
Date
Spring 2025
Description
This graduate design studio investigates the integration of artificial intelligence, behavior, and interaction into physical form. Students begin by developing a 1D game with minimal hardware and digital logic. They then design and produce a working Large Language Object (LLO): a physical AI system that harnesses large language models to enable dynamic, context-aware interactions—pushing the boundaries of human-computer interaction.
Role
As Teaching Assistant, I prepared hardware kits and starter code, and provided guidance on interaction design, electronics production, programming, and digital fabrication—as well as overall project feedback during desk crits and reviews.
Course Staff
Marcelo Coelho - Lecturer
Sergio Mutis - Teaching Assistant
Xdd - Teaching Assistant
Quincy Kuang - Teaching Assistant
​Will McKenna - Technical Instructor
Featured Students
Ayah Mahmoud
Jacob Payne
Dana Shachar
Chiun Lee
Qingyun Liu
Krystal Mont.
Jianuo Xuan
Yuhan Wang
Alex Stewart
[Blank] Scope
by Chiun Lee, Quingyun Liu, Krystal Montgomerry
Scope is an AI-powered binocular that lets users see the world as it is—and as it could be. One lens shows live reality, the other a real-time, AI-generated view shaped by time and culture. Turning dials, users navigate history and speculation, blending perception with imagination.
Roulettective
by Yuhan Wang & Jianuo Xuan
Roulettective is a hands-on mystery game that turns storytelling into an embodied, AI-driven experience. Using a vintage slide projector as interface, players trigger GPT-4o and DALL·E 3 to generate clues, suspects, and scenes—blending physical gestures with generative narrative.
Kitchen Cosmo
by Ayah Mahmoud, Jacob Payne, Dana Shachar
Kitchen Cosmo is a sensory, AI-powered cooking assistant that blends computer vision, language models, and tactile controls to generate personalized recipes. More than a recipe machin, it turns cooking into a playful, informed exploration.