able., MFA Thesis Project, 2021
able. (Augmented Bench Learning Experiences) is a collection of physical and digital tools for remote novice electronics makers, using a mobile device. More information on the thesis show website.
Developed in A-Frame, AR.js, using ESP32.
Advisors: Katherine Moriwaki, Andrew Zornoza, Aya Karpinska, Louisa Campbell