GazeCode: Open-source software for manual mapping of mobile eye-tracking data

Jeroen S. Benjamins*, Roy S. Hessels, Ignace T.C. Hooge

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Purpose: Eye movements recorded with mobile eye trackers generally have to be mapped to the visual stimulus manually. Manufacturer software usually has sub-optimal user interfaces. Here, we compare our in-house developed open-source alternative to the manufacturer software, called GazeCode. Method: 330 seconds of eye movements were recorded with the Tobii Pro Glasses 2. Eight coders subsequently categorized fixations using both Tobii Pro Lab and GazeCode. Results: Average manual mapping speed was more than two times faster when using GazeCode (0.649 events/s) compared with Tobii Pro Lab (0.292 events/s). Inter-rater reliability (Cohen’s Kappa) was similar and satisfactory; 0.886 for Tobii Pro Lab and 0.871 for GazeCode. Conclusion: GazeCode is a faster alternative to Tobii Pro Lab for mapping eye movements to the visual stimulus. Moreover, it accepts eye-tracking data from manufacturers SMI, Positive Science, Tobii, and Pupil Labs.

Original languageEnglish
Title of host publicationProceedings - ETRA 2018
Subtitle of host publication2018 ACM Symposium on Eye Tracking Research and Applications
PublisherAssociation for Computing Machinery (ACM)
VolumePart F137344
ISBN (Electronic)9781450357067
DOIs
Publication statusPublished - 14 Jun 2018
Event10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018 - Warsaw, Poland
Duration: 14 Jun 201817 Jun 2018

Conference

Conference10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018
Country/TerritoryPoland
CityWarsaw
Period14/06/1817/06/18

Keywords

  • Eye-tracking events
  • Eyemovements
  • Manual classification
  • Mobile eye-tracking

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