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      Eyebrow position in grammatical and emotional expressions in Kazakh-Russian Sign Language: A quantitative study

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          Abstract

          Facial expressions in sign languages are used to express grammatical functions, such as question marking, but can also be used to express emotions (either the signer’s own or in constructed action contexts). Emotions and grammatical functions can utilize the same articulators, and the combinations can be congruent or incongruent. For instance, surprise and polar questions can be marked by raised eyebrows, while anger is usually marked by lowered eyebrows. We investigated what happens when different emotions (neutral/surprise/anger) are combined with different sentence types (statement/polar question/wh-question) in Kazakh-Russian Sign Language (KRSL), replicating studies previously made for other sign languages. We asked 9 native signers (5 deaf, 4 hearing children of deaf adults) to sign 10 simple sentences in 9 conditions (3 emotions * 3 sentence types). We used OpenPose software to track eyebrow position in the video recordings. We found that emotions and sentence types influence eyebrow position in KRSL: eyebrows are raised for polar questions and surprise, and lowered for anger. There are also some interactions between the two factors, as well as some differences between hearing and deaf native signers, namely a smaller effect of polar questions for the deaf group, and a different interaction between emotions and wh-question marking in the two groups. We thus find evidence for the complex influences on non-manual behavior in signers of sign languages, and showcase a quantitative approach to this field.

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          On the universality and cultural specificity of emotion recognition: a meta-analysis.

          A meta-analysis examined emotion recognition within and across cultures. Emotions were universally recognized at better-than-chance levels. Accuracy was higher when emotions were both expressed and recognized by members of the same national, ethnic, or regional group, suggesting an in-group advantage. This advantage was smaller for cultural groups with greater exposure to one another, measured in terms of living in the same nation, physical proximity, and telephone communication. Majority group members were poorer at judging minority group members than the reverse. Cross-cultural accuracy was lower in studies that used a balanced research design, and higher in studies that used imitation rather than posed or spontaneous emotional expressions. Attributes of study design appeared not to moderate the size of the in-group advantage.
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            Are Emotions Natural Kinds?

            Laypeople and scientists alike believe that they know anger, or sadness, or fear, when they see it. These emotions and a few others are presumed to have specific causal mechanisms in the brain and properties that are observable (on the face, in the voice, in the body, or in experience)-that is, they are assumed to be natural kinds. If a given emotion is a natural kind and can be identified objectively, then it is possible to make discoveries about that emotion. Indeed, the scientific study of emotion is founded on this assumption. In this article, I review the accumulating empirical evidence that is inconsistent with the view that there are kinds of emotion with boundaries that are carved in nature. I then consider what moving beyond a natural-kind view might mean for the scientific understanding of emotion.
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              Emotional Expression: Advances in Basic Emotion Theory

              In this article, we review recent developments in the study of emotional expression within a basic emotion framework. Dozens of new studies find that upwards of 20 emotions are signaled in multimodal and dynamic patterns of expressive behavior. Moving beyond word to stimulus matching paradigms, new studies are detailing the more nuanced and complex processes involved in emotion recognition and the structure of how people perceive emotional expression. Finally, we consider new studies documenting contextual influences upon emotion recognition. We conclude by extending these recent findings to questions about emotion-related physiology and the mammalian precursors of human emotion.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: VisualizationRole: Writing – original draft
                Role: Investigation
                Role: Data curationRole: Software
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2020
                2 June 2020
                : 15
                : 6
                : e0233731
                Affiliations
                [1 ] Department of Linguistic, Literary, and Aesthetic Studies, University of Bergen, Bergen, Norway
                [2 ] Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
                University of Massachusetts - Dartmouth, UNITED STATES
                Author notes

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

                Author information
                http://orcid.org/0000-0002-8748-6845
                http://orcid.org/0000-0002-3655-9928
                Article
                PONE-D-20-02249
                10.1371/journal.pone.0233731
                7266324
                32484837
                1b923b40-7a93-4151-bd19-7132c94c1808
                © 2020 Kimmelman 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
                : 24 January 2020
                : 11 May 2020
                Page count
                Figures: 2, Tables: 2, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012632, Nazarbayev University;
                Award ID: 110119FD4545
                Award Recipient :
                This work was supported by the Nazarbayev University Faculty Development Competitive Research Grant Program 2019-2021 "Kazakh Sign Language Automatic Recognition System (K-SLARS)". Award number is 110119FD4545". The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Medicine and Health Sciences
                Otorhinolaryngology
                Otology
                Hearing Disorders
                Deafness
                Social Sciences
                Linguistics
                Languages
                Sign Language
                Biology and Life Sciences
                Psychology
                Behavior
                Nonverbal Communication
                Sign Language
                Social Sciences
                Psychology
                Behavior
                Nonverbal Communication
                Sign Language
                Biology and Life Sciences
                Anatomy
                Head
                Face
                Medicine and Health Sciences
                Anatomy
                Head
                Face
                Medicine and Health Sciences
                Otorhinolaryngology
                Otology
                Hearing Disorders
                Social Sciences
                Linguistics
                Grammar
                Social Sciences
                Linguistics
                Languages
                Social Sciences
                Linguistics
                Speech
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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