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MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model

URN to cite this document:
urn:nbn:de:bvb:355-epub-543344
DOI to cite this document:
10.5283/epub.54334
Stein, Isabell ; Jossberger, Helen ; Gruber, Hans
[img]License: Creative Commons Attribution 4.0
PDF - Published Version
(20MB)
Date of publication of this fulltext: 06 Jun 2023 08:51



Abstract

Mobile eye tracking helps to investigate real-world settings, in which participants can move freely. This enhances the studies’ ecological validity but poses challenges for the analysis. Often, the 3D stimulus is reduced to a 2D image (reference view) and the fixations are manually mapped to this 2D image. This leads to a loss of information about the three-dimensionality of the stimulus. Using ...

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