Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'

doi: 10.4121/20496411.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20496411
Datacite citation style:
de Winter, Joost; Dodou, Dimitra; Wilbert Tabone (2022): Supplementary data for the paper 'How do people distribute their attention while observing The Night Watch?'. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/20496411.v3
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version 3 - 2022-11-29 (latest)
version 2 - 2022-09-09 version 1 - 2022-08-16
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 This study explored how people look at The Night Watch (1642), Rembrandt’s masterpiece. Twenty-one participants each stood in front of the painting for 5 minutes, while their eyes were recorded with a mobile eye-tracker and their thoughts were verbalized with a think-aloud method. We computed a heatmap of the participants’ attentional distribution using a novel markerless mapping method. The results showed that the participants’ attention was mainly directed at the faces of the two central figures, the bright mascot girl in the painting, and detailed elements such as the apparel of the key figures. The eye-movement analysis and think-aloud data also showed that participants’ attention shifted from the faces of the key figures to other elements of the scene over the course of the 5 minutes. Our analyses are consistent with the theory that Rembrandt used light and texture to capture the viewer’s attention. Finally, the robustness of the eye-tracking method was demonstrated by replicating the study on a smaller replica.

history
  • 2022-08-16 first online
  • 2022-11-29 published, posted
publisher
4TU.ResearchData
format
.m, .mat, .xlsx, .jpg, .mp4
organizations
Faculty of Mechanical Engineering, Delft University of Technology

DATA

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