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

Jeroen S. Benjamins; Roy S. Hessels; Ignace T.C. Hooge

doi:10.1145/3204493.3204568

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings - ETRA 2018
Subtitle of host publication	2018 ACM Symposium on Eye Tracking Research and Applications
Publisher	Association for Computing Machinery
Volume	Part F137344
ISBN (Electronic)	9781450357067
DOIs	https://doi.org/10.1145/3204493.3204568
Publication status	Published - 14 Jun 2018
Event	10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018 - Warsaw, Poland Duration: 14 Jun 2018 → 17 Jun 2018

Conference

Conference	10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018
Country/Territory	Poland
City	Warsaw
Period	14/06/18 → 17/06/18

Keywords

Eye-tracking events
Eyemovements
Manual classification
Mobile eye-tracking

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title = "GazeCode: Open-source software for manual mapping of mobile eye-tracking data",

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{\textquoteright}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.",

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author = "Benjamins, {Jeroen S.} and Hessels, {Roy S.} and Hooge, {Ignace T.C.}",

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language = "English",

volume = "Part F137344",

booktitle = "Proceedings - ETRA 2018",

publisher = "Association for Computing Machinery",

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Benjamins, JS , Hessels, RS & Hooge, ITC 2018, GazeCode: Open-source software for manual mapping of mobile eye-tracking data. in Proceedings - ETRA 2018: 2018 ACM Symposium on Eye Tracking Research and Applications. vol. Part F137344, a54, Association for Computing Machinery, 10th ACM Symposium on Eye Tracking Research and Applications, ETRA 2018, Warsaw, Poland, 14/06/18. https://doi.org/10.1145/3204493.3204568

GazeCode: Open-source software for manual mapping of mobile eye-tracking data. / Benjamins, Jeroen S.; Hessels, Roy S.; Hooge, Ignace T.C.
Proceedings - ETRA 2018: 2018 ACM Symposium on Eye Tracking Research and Applications. Vol. Part F137344 Association for Computing Machinery, 2018. a54.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Benjamins, Jeroen S.

AU - Hessels, Roy S.

AU - Hooge, Ignace T.C.

PY - 2018/6/14

Y1 - 2018/6/14

N2 - 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.

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

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