Title:	Visual Analytics of Gaze Data with Standard Multimedia Players
Authors:	Schöning, Julius Gundler, Christopher Heidemann, Gunther König, Peter Krummack, Ulf
Abstract:	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.
Citations:	Journal of Eye Movement Research 10(5):4 (2017)
URL:	https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2018050217023
Subject Keywords:	eye-tracking; gaze data; visualisation; visual analytics; multimedia container
Issue Date:	2-May-2018
License name:	Namensnennung 4.0 International
License url:	http://creativecommons.org/licenses/by/4.0/
Type of publication:	Einzelbeitrag in einer wissenschaftlichen Zeitschrift [article]
Appears in Collections:	FB08 - Hochschulschriften Open-Access-Publikationsfonds

This item is licensed under a Creative Commons License