iNNk is a project currently being worked on by a combined team from Drexel University and ITU Copenhagen focused on incorporating a Neural Network into the core experience of a game. The goal being to familiarize human players with the power and limitations of these systems that are becoming ever more present in our daily lives. Seen below is a trailer for the game. I have been the team lead, producer, and one of the designers on this project since it began at the end of 2019 and have coordinated the efforts of a mixed team of 11 designers, computer scientists, and researchers.
iNNk is a multiplayer drawing game where a human player is given a word prompt to draw that their human teammates must guess before their Neural Network opponent is able to figure it out. For more information, see the trailer below:
Here you can find some of the published work that came from iNNk:
iNNk: A Multi-Player Game to Deceive a Neural Network
Jennifer Villareale, Ana V. Acosta-Ruiz, Samuel Adam Arcaro, Thomas Fox, Evan Freed, Robert C. Gray, Mathias Löwe, Panote Nuchprayoon, Aleksanteri Sladek, Rush Weigelt, Yifu Li, Sebastian Risi, and Jichen Zhu. 2020. INNk: A Multi-Player Game to Deceive a Neural Network. In Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ’20). Association for Computing Machinery, New York, NY, USA, 33–37. DOI:https://doi.org/10.1145/3383668.3419858