short-paper

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

Authors:

Jennifer Villareale,

Ana V. Acosta-Ruiz,

Samuel Adam Arcaro,

Robert C. Gray,

Panote Nuchprayoon,

Aleksanteri Sladek,

Sebastian Risi,

Jichen ZhuAuthors Info & Claims

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

Pages 33 - 37

https://doi.org/10.1145/3383668.3419858

Published: 03 November 2020 Publication History

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.

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Cited By

Villareale JMaram SSeif El-Nasr MZhu J(2023)Integrating Players’ Perspectives in AI-Based Games: Case Studies of Player-AI Interaction DesignProceedings of the 18th International Conference on the Foundations of Digital Games10.1145/3582437.3582451(1-9)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3582437.3582451
Villareale JHarteveld CZhu J(2022)"I Want To See How Smart This AI Really Is": Player Mental Model Development of an Adversarial AI PlayerProceedings of the ACM on Human-Computer Interaction10.1145/35494826:CHI PLAY(1-26)Online publication date: 31-Oct-2022
https://dl.acm.org/doi/10.1145/3549482
Löwe MVillareale JFreed ESladek AZhu JRisi S(2021)Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble LearningProceedings of the 16th International Conference on the Foundations of Digital Games10.1145/3472538.3472540(1-10)Online publication date: 3-Aug-2021
https://dl.acm.org/doi/10.1145/3472538.3472540
Show More Cited By

Index Terms

iNNk: A Multi-Player Game to Deceive a Neural Network
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Published In

cover image ACM Conferences

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

November 2020

435 pages

ISBN:9781450375870

DOI:10.1145/3383668

General Chairs:
Pejman Mirza-Babaei
Ontario Tech University, Canada
,
Victoria McArthur
Carlton University, Canada
,
Program Chairs:
Vero Vanden Abeele
KU Leuven, Belgium
,
Max Birk
Eindhoven University of Technology, Netherlands

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 03 November 2020

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Short-paper

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CHI PLAY '20

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CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play

November 2 - 4, 2020

Virtual Event, Canada

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Overall Acceptance Rate 421 of 1,386 submissions, 30%

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Cited By

Villareale JMaram SSeif El-Nasr MZhu J(2023)Integrating Players’ Perspectives in AI-Based Games: Case Studies of Player-AI Interaction DesignProceedings of the 18th International Conference on the Foundations of Digital Games10.1145/3582437.3582451(1-9)Online publication date: 12-Apr-2023
https://dl.acm.org/doi/10.1145/3582437.3582451
Villareale JHarteveld CZhu J(2022)"I Want To See How Smart This AI Really Is": Player Mental Model Development of an Adversarial AI PlayerProceedings of the ACM on Human-Computer Interaction10.1145/35494826:CHI PLAY(1-26)Online publication date: 31-Oct-2022
https://dl.acm.org/doi/10.1145/3549482
Löwe MVillareale JFreed ESladek AZhu JRisi S(2021)Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble LearningProceedings of the 16th International Conference on the Foundations of Digital Games10.1145/3472538.3472540(1-10)Online publication date: 3-Aug-2021
https://dl.acm.org/doi/10.1145/3472538.3472540
Kadish DRisi SLovlie A(2021)Improving Object Detection in Art Images Using Only Style Transfer2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534264(1-8)Online publication date: 18-Jul-2021
https://doi.org/10.1109/IJCNN52387.2021.9534264

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