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Automating Eye Movement Analysis by joe newlon is a document available to read on EtoBox.

1) The document describes using hidden Markov models to automatically analyze eye movement data from cognitive experiments. 2) Eye movement data is noisy and time-consuming for humans to analyze, involving coding large numbers of individual trial protocols. 3) The authors demonstrate two methods for using hidden Markov models to map eye movements to the sequential predictions of a cognitive model or problem-solving strategy. 4) When tested on an equation-solving task, the automated methods performed as wel

Author
joe newlon
Language
EN