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      Speech timing cues reveal deceptive speech in social deduction board games

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      PLoS ONE
      Public Library of Science

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          Abstract

          The faculty of language allows humans to state falsehoods in their choice of words. However, while what is said might easily uphold a lie, how it is said may reveal deception. Hence, some features of the voice that are difficult for liars to control may keep speech mostly, if not always, honest. Previous research has identified that speech timing and voice pitch cues can predict the truthfulness of speech, but this evidence has come primarily from laboratory experiments, which sacrifice ecological validity for experimental control. We obtained ecologically valid recordings of deceptive speech while observing natural utterances from players of a popular social deduction board game, in which players are assigned roles that either induce honest or dishonest interactions. When speakers chose to lie, they were prone to longer and more frequent pauses in their speech. This finding is in line with theoretical predictions that lying is more cognitively demanding. However, lying was not reliably associated with vocal pitch. This contradicts predictions that increased physiological arousal from lying might increase muscular tension in the larynx, but is consistent with human specialisations that grant Homo sapiens sapiens an unusual degree of control over the voice relative to other primates. The present study demonstrates the utility of social deduction board games as a means of making naturalistic observations of human behaviour from semi-structured social interactions.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling

            Count data can be analyzed using generalized linear mixed models when observations are correlated in ways that require random effects. However, count data are often zero-inflated, containing more zeros than would be expected from the typical error distributions. We present a new package, glmmTMB, and compare it to other R packages that fit zero-inflated mixed models. The glmmTMB package fits many types of GLMMs and extensions, including models with continuously distributed responses, but here we focus on count responses. glmmTMB is faster than glmmADMB, MCMCglmm, and brms, and more flexible than INLA and mgcv for zero-inflated modeling. One unique feature of glmmTMB (among packages that fit zero-inflated mixed models) is its ability to estimate the Conway-Maxwell-Poisson distribution parameterized by the mean. Overall, its most appealing features for new users may be the combination of speed, flexibility, and its interface’s similarity to lme4. The R journal, 9 (2) ISSN:2073-4859
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              structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data

              The 𝖱 package structSSI provides an accessible implementation of two recently developed simultaneous and selective inference techniques: the group Benjamini-Hochberg and hierarchical false discovery rate procedures. Unlike many multiple testing schemes, these methods specifically incorporate existing information about the grouped or hierarchical dependence between hypotheses under consideration while controlling the false discovery rate. Doing so increases statistical power and interpretability. Furthermore, these procedures provide novel approaches to the central problem of encoding complex dependency between hypotheses. We briefly describe the group Benjamini-Hochberg and hierarchical false discovery rate procedures and then illustrate them using two examples, one a measure of ecological microbial abundances and the other a global temperature time series. For both procedures, we detail the steps associated with the analysis of these particular data sets, including establishing the dependence structures, performing the test, and interpreting the results. These steps are encapsulated by 𝖱 functions, and we explain their applicability to general data sets.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: VisualizationRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 February 2022
                2022
                : 17
                : 2
                : e0263852
                Affiliations
                [1 ] Department of Speech, Hearing and Phonetic Sciences, University College London, London, United Kingdom
                [2 ] Department of Psychology, Edge Hill University, Ormskirk, United Kingdom
                University of Padova, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-3270-8666
                Article
                PONE-D-21-34258
                10.1371/journal.pone.0263852
                8836341
                35148352
                01de589c-dfe6-46f3-8173-372cb37bf604
                © 2022 Zhang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 October 2021
                : 27 January 2022
                Page count
                Figures: 3, Tables: 0, Pages: 11
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000275, Leverhulme Trust;
                Award ID: RL-2016-013
                Award Recipient :
                Research Leadership Award from The Leverhulme Trust awarded to CM (RL-2016-013; https://www.leverhulme.ac.uk/).
                Categories
                Research Article
                Social Sciences
                Linguistics
                Speech
                Biology and Life Sciences
                Psychology
                Behavior
                Deception
                Social Sciences
                Psychology
                Behavior
                Deception
                Biology and Life Sciences
                Psychology
                Behavior
                Recreation
                Games
                Social Sciences
                Psychology
                Behavior
                Recreation
                Games
                Physical Sciences
                Physics
                Acoustics
                Engineering and Technology
                Signal Processing
                Speech Signal Processing
                Biology and Life Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sociality
                Social Sciences
                Psychology
                Behavior
                Animal Behavior
                Animal Sociality
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Animal Sociality
                Engineering and Technology
                Equipment
                Audio Equipment
                Biology and Life Sciences
                Psychology
                Behavior
                Verbal Behavior
                Verbal Communication
                Social Sciences
                Psychology
                Behavior
                Verbal Behavior
                Verbal Communication
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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