iNNk: A Multi-Player Game to Deceive a Neural Network

Jennifer Villareale,Ana Acosta-Ruiz,Samuel Arcaro,Thomas Fox,Evan Freed,Robert Gray,Mathias Löwe,Panote Nuchprayoon,Aleksanteri Sladek,Rush Weigelt,Yifu Li,Sebastian Risi,Jichen Zhu

CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play Virtual Event Canada November, 2020（2020）

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摘要

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.

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关键词

neural network,game,multi-player

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