Escape from Wonderland
Escape from Wonderland was inspired by the work of Louis von Ahn, the creator of reCAPTCHA and more recently, Duolingo. Both of these products use implicit crowdsourcing, marrying a free service that the user wants with a task that they are able to perform better than computers, the output of which a company is willing to pay for. We brainstormed several different tasks such as using foreign students to translate menus, mapping areas unreachable by cars such as college campuses, and even judging public sentiment at Olympic games. We found that deciphering emotions in human language was an area that computers still had trouble understanding, especially if a person was being sarcastic. We found that machine learning software could only learn about tones if a large number of audio clips are properly tagged by people who can understand tones such as sarcasm.
Sketches and Wireframes
We wanted to create a game world similar to Temple Run where players could swipe in order to dodge obstacles and collect cards for points.
The design went through numerous iterations to create a whimsical yet realistic game world.