Abstract
We instrument Group Diagrams (GDs) to reduce clutter in sets
of eye-tracking scanpaths. Group Diagrams consist of trajectory
subsets that cover, or represent, the whole set of trajectories with
respect to some distance measure and an adjustable distance threshold.
The original GDs allow for an application of various distance
measures. We implement the GD framework and evaluate it on
scanpaths that were collected by a former user study on public transit
maps. We find that the Fréchet distance is the most appropriate
measure to get meaningful results, yet it is flexible enough to cover
outliers.We discuss several implementation-specific challenges and
improve the scalability of the algorithm.
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