Semantic, Orthographic, and Morphological Biases in Humans' Wordle Gameplay
Liang, Gary, Kabbara, Adam, Liu, Cindy, Luo, Ronaldo, Kim, Kina, Guerzhoy, Michael
–arXiv.org Artificial Intelligence
We show that human players' gameplay in the game of Wordle is influenced by the semantics, orthography, and morphology of the player's previous guesses. We demonstrate this influence by comparing actual human players' guesses to near-optimal guesses, showing that human players' guesses are biased to be similar to previous guesses semantically, orthographically, and morphologically.
arXiv.org Artificial Intelligence
Nov-14-2024
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