Paper: A Model of Individual Differences in Gaze Control During Reading

ACL ID D14-1192
Title A Model of Individual Differences in Gaze Control During Reading
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We develop a statistical model of saccadic eye movements during reading of isolated sentences. The model is focused on rep- resenting individual differences between readers and supports the inference of the most likely reader for a novel set of eye movement patterns. We empirically study the model for biometric reader identifica- tion using eye-tracking data collected from 20 individuals and observe that the model distinguishes between 20 readers with an accuracy of up to 98%.