An Auto-Ethnography through the Third Eye
This study is based on a critical design product, a smart wearable which becomes the third eye to the human body. The third eye augments the vision of human and detects the time spent by staring at digital interfaces. It uses computer vision and AI technologies to determine a specific daily habit; staring at a digital screen for a long time. How is technology reforming our daily habits and rituals? What is human-centered AI? How can AI help human for augmentation of environmental experience? What if computer vision and AI are used to reveal the ethnographical data of self?
Project | MFADT 2017 Fall Thesis Study I, 2018 Spring Thesis Study II
Role | Development, Physical Computing, Production, 3D Printing, Laser Cutting
Tools | Google Cloud Vision API, Image Recognition, Node.js, p5.js, Raspberry Pi Zero and Camera, 3D Printing, Laser Cutter
Designer | Tuba Ozkan
"What do we know of the world and the universe about us? Our means of receiving impressions are absurdly few, and our notions of surrounding objects infinitely narrow.”
H. P. Lovecraft, From Beyond, 1934