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. 2021 Sep 17;4:1100. doi: 10.1038/s42003-021-02608-x

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 7 — a Blank screen viewing eye movement features were extracted and used to predict individual subject labels (Static vs. Dynamic) by means of a random forest classifier. The algorithm was trained on features extracted from the blank screen viewing condition and tested on cluster labels extracted while participants were exploring visual scenes, in a cross-classification design. The model showed 79% accuracy in cluster classification from blank screen viewing features. b For each pair of subjects a Pearson’s r is computed between the vectors of z-scored features extracted from the image-viewing task (right) and the blank screen viewing condition (left). X and Y axes indicate subjects. The colour of each cell indicates the Pearson’s correlation value, while the coloured squares indicate the cluster (i.e., the visual exploration style; blue = static viewers; red = dynamic viewers). c Boxplots showing the comparison between the mean correlation within each group (static = STA, n = 42; dynamic = DYN, n = 72) and between groups (STA-DYN). STA = within-group correlation in static viewers; DYN = within-group correlation in Dynamic viewers; STA-DYN: between-groups correlation. * = Bonferroni-corrected significant difference tested by means of a two-sample t-test.