What statistical techniques are commonly used to analyze the temporal patterns in eye tracking coordinates?
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Statistical techniques commonly used to analyze the temporal patterns in eye tracking coordinates include generalized additive logistic regression models (GAMMs) implemented in the mgcv R package , visual analytics methods for event-based temporal data , and gaze self-similarity plots (GSSPs) . GAMMs are applied to intensive binary time series eye-tracking data and are effective in modeling spatial-temporal correlations and detecting experimental condition effects . Visual analytics methods focus on the temporal evolution of Areas of Interest (AoIs) and use temporal clustering to analyze eye gaze patterns . GSSPs provide a two-dimensional plot that visualizes both spatial and temporal eye movement features, revealing information about eye movement characteristics .
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