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Earth Science Informatics

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24.06.2022 | Software Article

ET2Spatial – software for georeferencing of eye movement data

verfasst von: Minha Noor Sultan, Stanislav Popelka, Josef Strobl

Erschienen in: Earth Science Informatics | Ausgabe 3/2022

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Abstract

The paper focuses on the development of an open-source utility tool for the analysis of eye-tracking data recorded on interactive web maps. The tool simplifies the labor-intensive task of frame-by-frame analysis of screen recordings with overlaid eye-tracking data in the current eye-tracking systems. The tool's main functionality is to convert the screen coordinates of the participant's gaze to real-world coordinates and allow exports in commonly used spatial data formats. The paper explores the existing state-of-art in an eye-tracking analysis of dynamic cartographic products as well as the research and technology aiming at improving the analysis techniques. The developed software, called ET2Spatial, is tested in-depth in terms of performance and accuracy. The capabilities of GIS software for visualizing and analyzing recorded eye-tracking data are investigated. The tool aims to enhance the research capabilities in the field of eye-tracking in geovisualization.

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https://github.com/minha94/ET2Spatial

https://github.com/ondrejruzicka/maptrack

https://www.usna.edu/Users/oceano/pguth/md_help/html/mapb0iem.htm

https://en.wikipedia.org/wiki/Web_Mercator_projection

https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames

www.eyetracking.upol.cz/tobii2spatial

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Titel: ET2Spatial – software for georeferencing of eye movement data
verfasst von: Minha Noor Sultan
Stanislav Popelka
Josef Strobl
Publikationsdatum: 24.06.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 3/2022
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-022-00832-5

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