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. 2018 Sep 6;8:13347. doi: 10.1038/s41598-018-31619-8

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© The Author(s) 2018

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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Decoding stages of public information processing as a function of indicators of perceived vulnerability to extrinsic morbidity risks. (a) The solid and dotted black curves represent the time-course of correlation (coefficient r, right y axis) between decoding sensitivities of public information processing (grey curve, left y axis) and Perceived Infectability scores on the one hand (solid curve), and Germ Aversion scores on the other hand (dotted curve). Clusters of adjacent time-points in which the correlation coefficient r was >0.40 are represented by the corresponding markers located just above the x axis. (b) Temporal generalization of public information decoding obtained after splitting the participants sample into high and low scorers on the Perceived Infectability subscale (median split). The diagonal (where testing time = training time) gives the curve for canonical decoder performance over time. (c) Bayesian analyses of models with and without the index summing Perceived Infectability scores or Germ Aversion scores with decoding sensitivities, or each of these variables taken in isolation as predictor of social influence scores. The baseline model only includes disagreement valence and disagreement strength as within-subject factors; alternative models include the combination indices, decoding sensitivity, Perceived Infectability or Germ Aversion as a main effect (type 1). A Bayes Factor >1 indicates greater evidence for the alternative model.