iNNk: A Multi-Player Game to Deceive a Neural Network
Human-Computer Interaction
2021-01-18 v2 Artificial Intelligence
Abstract
This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other through drawings, without being deciphered by the NN. With this game, we aim to foster a playful environment where players can, in a small way, go from passive consumers of NN applications to creative thinkers and critical challengers.
Keywords
Cite
@article{arxiv.2007.09177,
title = {iNNk: A Multi-Player Game to Deceive a Neural Network},
author = {Jennifer Villareale and Ana Acosta-Ruiz and Samuel Arcaro and Thomas Fox and Evan Freed and Robert Gray and Mathias Löwe and Panote Nuchprayoon and Aleksanteri Sladek and Rush Weigelt and Yifu Li and Sebastian Risi and Jichen Zhu},
journal= {arXiv preprint arXiv:2007.09177},
year = {2021}
}