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    Iris matching app.
Concept development, gamification, machine learning, medical database input, biometrics, target advertising, empathy. 

"The big premise is that they're are duplicate eyes"
Me&You (Blink)

Blink is a iris matching app that collects medical data through gamification for machine learning (Google's Deepmind).
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? (Empathy.)

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.

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. This is concept I heard a few years ago listening to NPR. The gentleman speaking was Jaron Lanier, author of The Future of Everything. https://www.npr.org/2012/02/15/146944925/should-facebooks-users-share-its-riches  
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
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  


Tags: information architecture, medical data, user base, demographics, e-payments, banking, machine learning, assistive technology, deep mind, advertising