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
- Drexel University,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 33-37 (4 pages)Publication milestones
- Published - 01/11/2020
Publication status
Published - 01/11/2020
ISBN (Electronic)
9781450375870Publication IDs
- Scopus: 85096807017
Host publication title
CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in PlayAbstract
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.
go from passive consumers of NN applications to creative thinkers and critical challengers.
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Captures
13
Citations
5
Access to documents
Accepted author manuscript, 5.19 MB
Related Event
Title
Annual Symposium on Computer-Human Interaction in Play
Event type
ConferenceDate
02/11/2020 - 05/11/2020Location
Virtual event VIRTUAL