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. 2020 Jul 21;11:60. doi: 10.1186/s13229-020-00361-2

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Gaze following stimuli and results. The left panel shows still frame images from one of the gaze following videos to illustrate the sequence of events. The event begins with the actor looking directly into the camera (a); she executes a gaze shift to the target object (b) and shifts gaze back toward the camera (c). The areas of interest for the fixation analyses are illustrated in d. The target object is in green, the plausible non-target object is in blue, and the implausible non-target objects are in red. The face is in grey. Task performance (% correct) is plotted as a function of group (e). Fixation durations to faces (f) and target objects (g) are plotted separated by group. Error bars reflect 95% confidence intervals. All analyses used mixed-effects modeling of trial-level data; however, for visualization these plots reflect the mean-level data. **p < .01