Visual Analytics of Gaze Data with Standard Multimedia Player
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 diff...
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doaj-5cc6aca5bc55488dadf06be0f5f0b4602021-05-28T13:33:53ZengBern Open PublishingJournal of Eye Movement Research1995-86922017-11-0110510.16910/jemr.10.5.4Visual Analytics of Gaze Data with Standard Multimedia PlayerJulius Schöning0Christopher Gundler1Gunther Heidemann2Peter König3Ulf Krumnack4Institute of Cognitive Science; Osnabrück UniversityInstitute of Cognitive Science; Osnabrück UniversityInstitute of Cognitive Science; Osnabrück UniversityInstitute of Cognitive Science; Osnabrück UniversityInstitute of Cognitive Science; Osnabrück UniversityWith 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 difficult to access even for experts and effectively 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 eye-tracking 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.https://bop.unibe.ch/JEMR/article/view/3725eye-trackinggaze datavisualizationvisual analyticsmultimedia container |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Julius Schöning Christopher Gundler Gunther Heidemann Peter König Ulf Krumnack |
spellingShingle |
Julius Schöning Christopher Gundler Gunther Heidemann Peter König Ulf Krumnack Visual Analytics of Gaze Data with Standard Multimedia Player Journal of Eye Movement Research eye-tracking gaze data visualization visual analytics multimedia container |
author_facet |
Julius Schöning Christopher Gundler Gunther Heidemann Peter König Ulf Krumnack |
author_sort |
Julius Schöning |
title |
Visual Analytics of Gaze Data with Standard Multimedia Player |
title_short |
Visual Analytics of Gaze Data with Standard Multimedia Player |
title_full |
Visual Analytics of Gaze Data with Standard Multimedia Player |
title_fullStr |
Visual Analytics of Gaze Data with Standard Multimedia Player |
title_full_unstemmed |
Visual Analytics of Gaze Data with Standard Multimedia Player |
title_sort |
visual analytics of gaze data with standard multimedia player |
publisher |
Bern Open Publishing |
series |
Journal of Eye Movement Research |
issn |
1995-8692 |
publishDate |
2017-11-01 |
description |
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 difficult to access even for experts and effectively 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 eye-tracking 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. |
topic |
eye-tracking gaze data visualization visual analytics multimedia container |
url |
https://bop.unibe.ch/JEMR/article/view/3725 |
work_keys_str_mv |
AT juliusschoning visualanalyticsofgazedatawithstandardmultimediaplayer AT christophergundler visualanalyticsofgazedatawithstandardmultimediaplayer AT guntherheidemann visualanalyticsofgazedatawithstandardmultimediaplayer AT peterkonig visualanalyticsofgazedatawithstandardmultimediaplayer AT ulfkrumnack visualanalyticsofgazedatawithstandardmultimediaplayer |
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1721423680782729216 |