Gymnasion

What:
Work
When:
3 days 20 hours
Where:
Centre de Design (DE) UQAM - Galerie du Centre de Design
Discussion:
0
Gymnasion reimagines rhetorical education by using machine learning to train and test
humans. In the first mini-game, “Speed of Breath,” the user motivates a character to run
by sending him inspirational messages. These are assessed by a statistical model trained
to distinguish inspiring from non-inspiring quotations. The more inspiring and rapid-fire
the messages, the faster the character sprints. “Manual Style Transfer” tasks the user
with rewriting a sentence so that it sounds as if it were written by Whitman (according
to a model trained for authorship identification) while retaining its meaning (according
to Word Mover’s Distance, a metric of semantic similarity [Kusner et al., 2015]). A data
visualization guides the user’s progress.
Participant
Neukom Institute, Dartmouth College
Postdoctoral fellow

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