"The big premise is that they're are duplicate eyes"
Blink is a iris matching app that collects medical data through gamification for machine learning (Google's Deepmind). Information architecture: Pays the users back through an inclusive banking design (for use of medical data) incentivizing more people to use the app and website.
What if someone’s iris matches or shows similarities to mine? Does that mean we interpret light the same way, have the same preferences, tendencies and tastes?
Think of it like a game or horoscope app, but instead of using birthdays you're matching characters using the human iris and light. Or information, meta data and the world in my eyes.
Is The Dress White and Gold or Blue and Black? http://www.wired.com/2015/02/science-one-agrees-color-dress/
Quote and the making of iOrigins and iris biometrics: https://www.youtube.com/watch?v=4SEHiy447LE
Inspiration: iOrigins https://www.youtube.com/watch?v=0VSHEHGmlUs.
Technically the human iris is unique to each individual so there would never be a match. I think. Which makes the "what if" and curiosity of it fun to me anyways. There has to be something I can take away or build from this. Some type of pattern.
Gamification. Another way to familiarize people having their eyes scanned. http://blogs.wsj.com/cio/2015/07/24/wells-fargo-joins-other-banks-in-testing-mobile-biometrics/
Need: eyes parts + functions
medical crowdsourcing platforms, like Foldit + 23andMe << storage + how to interpret data << time.
current eye biometric apps + functions + mechanisms + designs that I like >> http://www.peekvision.org
>> Peek Vision (Professional eye exams from your phone) << currently not available or used in North America, South America and Europe
collaborate << information architecture << first need data / patterns/ users
Product Hunt: https://www.producthunt.com/posts/peek-vision
Tags: information architecture, medical data, user base, demographics, e-payments, banking, machine learning, assistive technology, deep mind, advertising
Application as assistive technology: Deepmind