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; Jichen Zhu

doi:10.1145/3383668.3419858

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, Jichen Zhu

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play
Number of pages	4
Publication date	1 Nov 2020
Pages	33-37
ISBN (Electronic)	9781450375870
DOIs	https://doi.org/10.1145/3383668.3419858
Publication status	Published - 1 Nov 2020

Keywords

Multiplayer drawing game
Human-NN interaction
Secret code communication
Creative engagement
Critical thinking

Access to Document

10.1145/3383668.3419858

2007.09177Accepted author manuscript, 5.19 MB

Cite this

Villareale, J., Acosta-Ruiz, A. V., Arcaro, S. A., Fox, T., Freed, E., Gray, R. C., Löwe, M., Nuchprayoon, P., Sladek, A., Weigelt, R., Li, Y., Risi, S., & Zhu, J. (2020). iNNk: A Multi-Player Game to Deceive a Neural Network. In CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (pp. 33-37) https://doi.org/10.1145/3383668.3419858

@inproceedings{f13603bb3c75469fa92383464e3a3c5e,

title = "iNNk: A Multi-Player Game to Deceive a Neural Network",

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 = "Multiplayer drawing game, Human-NN interaction, Secret code communication, Creative engagement, Critical thinking, Multiplayer drawing game, Human-NN interaction, Secret code communication, Creative engagement, Critical thinking",

author = "Jennifer Villareale and Acosta-Ruiz, {Ana V.} and Arcaro, {Samuel Adam} and Thomas Fox and Evan Freed and Gray, {Robert C.} and Mathias L{\"o}we and Panote Nuchprayoon and Aleksanteri Sladek and Rush Weigelt and Yifu Li and Sebastian Risi and Jichen Zhu",

year = "2020",

month = nov,

day = "1",

doi = "10.1145/3383668.3419858",

language = "English",

pages = "33--37",

booktitle = "CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play",

}

iNNk: A Multi-Player Game to Deceive a Neural Network. / Villareale, Jennifer; Acosta-Ruiz, Ana V.; Arcaro, Samuel Adam et al.
CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. 2020. p. 33-37.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - iNNk: A Multi-Player Game to Deceive a Neural Network

AU - Villareale, Jennifer

AU - Acosta-Ruiz, Ana V.

AU - Arcaro, Samuel Adam

AU - Fox, Thomas

AU - Freed, Evan

AU - Gray, Robert C.

AU - Löwe, Mathias

AU - Nuchprayoon, Panote

AU - Sladek, Aleksanteri

AU - Weigelt, Rush

AU - Li, Yifu

AU - Risi, Sebastian

AU - Zhu, Jichen

PY - 2020/11/1

Y1 - 2020/11/1

N2 - 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.

AB - 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.

KW - Multiplayer drawing game

KW - Human-NN interaction

KW - Secret code communication

KW - Creative engagement

KW - Critical thinking

KW - Multiplayer drawing game

KW - Human-NN interaction

KW - Secret code communication

KW - Creative engagement

KW - Critical thinking

U2 - 10.1145/3383668.3419858

DO - 10.1145/3383668.3419858

M3 - Article in proceedings

SP - 33

EP - 37

BT - CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this