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With the increasing number of studies, where participants’ eye movements are tracked while
watching videos, the volume of gaze data records is growing tremendously. Unfortunately, in
most cases, such data are collected in separate files in custom-made or proprietary data formats.
These data are di cult to access even for experts and e ectively inaccessible for non-experts.
Normally expensive or custom-made software is necessary for their analysis. We address this
problem by using existing multimedia container formats for distributing and archiving eyetracking
and gaze data bundled with the stimuli data. We define an exchange format that
can be interpreted by standard multimedia players and can be streamed via the Internet. We
convert several gaze data sets into our format, demonstrating the feasibility of our approach
and allowing to visualize these data with standard multimedia players. We also introduce two
VLC player add-ons, allowing for further visual analytics. We discuss the benefit of gaze
data in a multimedia container and explain possible visual analytics approaches based on our
implementations, converted datasets, and first user interviews
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