MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model
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 2...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Bern Open Publishing
2023-05-01
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| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/5589 |
| _version_ | 1797815471416803328 |
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| author | Isabell Stein Helen Jossberger Hans Gruber |
| author_facet | Isabell Stein Helen Jossberger Hans Gruber |
| author_sort | Isabell Stein |
| collection | DOAJ |
| description |
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 several reference images, from different perspectives, poses new problems, in particular concerning the mapping of fixations in the transition areas between two reference views. A newly developed approach (MAP3D) is presented that enables generating a 3D model and automatic mapping of fixations to this virtual 3D model of the stimulus. This avoids problems with the reduction to a 2D reference image and with transitions between images. The x, y and z coordinates of the fixations are available as a point cloud and as .csv output. First exploratory application and evaluation tests are promising: MAP3D offers innovative ways of post-hoc mapping fixation data on 3D stimuli with open-source software and thus provides cost-efficient new avenues for research.
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| first_indexed | 2024-03-13T08:23:14Z |
| format | Article |
| id | doaj.art-e81559d753c9407485b836bf725a621e |
| institution | Directory Open Access Journal |
| issn | 1995-8692 |
| language | English |
| last_indexed | 2024-03-13T08:23:14Z |
| publishDate | 2023-05-01 |
| publisher | Bern Open Publishing |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj.art-e81559d753c9407485b836bf725a621e2023-05-31T06:04:24ZengBern Open PublishingJournal of Eye Movement Research1995-86922023-05-0115310.16910/jemr.15.3.8MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D modelIsabell Stein0Helen Jossberger1Hans Gruber2University of RegensburgUniversity of RegensburgUniversity of Regensburg 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 several reference images, from different perspectives, poses new problems, in particular concerning the mapping of fixations in the transition areas between two reference views. A newly developed approach (MAP3D) is presented that enables generating a 3D model and automatic mapping of fixations to this virtual 3D model of the stimulus. This avoids problems with the reduction to a 2D reference image and with transitions between images. The x, y and z coordinates of the fixations are available as a point cloud and as .csv output. First exploratory application and evaluation tests are promising: MAP3D offers innovative ways of post-hoc mapping fixation data on 3D stimuli with open-source software and thus provides cost-efficient new avenues for research. https://bop.unibe.ch/JEMR/article/view/55893D stimuliautomatic fixation mappingeye movementeye trackingphotogrammetryvirtual 3D model |
| spellingShingle | Isabell Stein Helen Jossberger Hans Gruber MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model Journal of Eye Movement Research 3D stimuli automatic fixation mapping eye movement eye tracking photogrammetry virtual 3D model |
| title | MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model |
| title_full | MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model |
| title_fullStr | MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model |
| title_full_unstemmed | MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model |
| title_short | MAP3D: An explorative approach for automatic mapping of real-world eye-tracking data on a virtual 3D model |
| title_sort | map3d an explorative approach for automatic mapping of real world eye tracking data on a virtual 3d model |
| topic | 3D stimuli automatic fixation mapping eye movement eye tracking photogrammetry virtual 3D model |
| url | https://bop.unibe.ch/JEMR/article/view/5589 |
| work_keys_str_mv | AT isabellstein map3danexplorativeapproachforautomaticmappingofrealworldeyetrackingdataonavirtual3dmodel AT helenjossberger map3danexplorativeapproachforautomaticmappingofrealworldeyetrackingdataonavirtual3dmodel AT hansgruber map3danexplorativeapproachforautomaticmappingofrealworldeyetrackingdataonavirtual3dmodel |