Tag Archives: clustering

Beyond heatmaps: visualizing eye tracking data

Eye tracking data is notoriously hard to represent visually. It’s dense, high dimensional, and can’t be compressed without losing important information. The industry standard graphic, a heatmap of the combined tracks of all participants in a study, does a good … Continue reading

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Cluster analysis for concise results in eye tracking

Eye tracking data is received as a dense, high-entropy stream of coordinates.  This data is then redistributed using methods that will help display results and identify trends. The most common method we use for displaying results is a heatmap which illustrates … Continue reading

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