The Avatar’s Gist: How to Transfer Affective Components From Dynamic Walking to Static Body Postures
Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectr...
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| Published in | Frontiers in neuroscience Vol. 16; p. 842433 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Research Foundation
15.06.2022
Frontiers Media S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1662-453X 1662-4548 1662-453X |
| DOI | 10.3389/fnins.2022.842433 |
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| Abstract | Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectrum of experimental settings exploring time-locked cognitive processes. We propose a novel automatic method for creating virtual affective body postures starting from kinematics data. Exploiting body features related to postural cues and movement velocity, we transferred the affective components from dynamic walking to static body postures of male and female virtual avatars. Results of two online experiments showed that participants coherently judged different valence and arousal levels in the avatar’s body posture, highlighting the reliability of the proposed methodology. In addition, esthetic and postural cues made women more emotionally expressive than men. Overall, we provided a valid methodology to create affective body postures of virtual avatars, which can be used within different virtual scenarios to understand better the way we perceive the affective state of others. |
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| AbstractList | Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectrum of experimental settings exploring time-locked cognitive processes. We propose a novel automatic method for creating virtual affective body postures starting from kinematics data. Exploiting body features related to postural cues and movement velocity, we transferred the affective components from dynamic walking to static body postures of male and female virtual avatars. Results of two online experiments showed that participants coherently judged different valence and arousal levels in the avatar's body posture, highlighting the reliability of the proposed methodology. In addition, esthetic and postural cues made women more emotionally expressive than men. Overall, we provided a valid methodology to create affective body postures of virtual avatars, which can be used within different virtual scenarios to understand better the way we perceive the affective state of others. Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectrum of experimental settings exploring time-locked cognitive processes. Here, we propose a novel automatic method for creating virtual affective body postures starting from kinematics data. Exploiting body features related to postural cues and movement velocity, we transferred the affective components from dynamic walking to static body postures of male and female virtual avatars. Results of two online experiments showed that subjects coherently judged different valence and arousal levels in the avatar’s body posture, highlighting the reliability of the proposed methodology. In addition, aesthetic and postural cues made females more emotionally expressive than males. Overall, we provided a valid methodology to create affective body postures of virtual avatars, which can be used within different virtual scenarios to understand better the way we perceive the affective state of others. Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectrum of experimental settings exploring time-locked cognitive processes. We propose a novel automatic method for creating virtual affective body postures starting from kinematics data. Exploiting body features related to postural cues and movement velocity, we transferred the affective components from dynamic walking to static body postures of male and female virtual avatars. Results of two online experiments showed that participants coherently judged different valence and arousal levels in the avatar's body posture, highlighting the reliability of the proposed methodology. In addition, esthetic and postural cues made women more emotionally expressive than men. Overall, we provided a valid methodology to create affective body postures of virtual avatars, which can be used within different virtual scenarios to understand better the way we perceive the affective state of others.Dynamic virtual representations of the human being can communicate a broad range of affective states through body movements, thus effectively studying emotion perception. However, the possibility of modeling static body postures preserving affective information is still fundamental in a broad spectrum of experimental settings exploring time-locked cognitive processes. We propose a novel automatic method for creating virtual affective body postures starting from kinematics data. Exploiting body features related to postural cues and movement velocity, we transferred the affective components from dynamic walking to static body postures of male and female virtual avatars. Results of two online experiments showed that participants coherently judged different valence and arousal levels in the avatar's body posture, highlighting the reliability of the proposed methodology. In addition, esthetic and postural cues made women more emotionally expressive than men. Overall, we provided a valid methodology to create affective body postures of virtual avatars, which can be used within different virtual scenarios to understand better the way we perceive the affective state of others. |
| Author | Ruzzon, Davide Vecchiato, Giovanni Avanzini, Pietro Caruana, Fausto Galasso, Gaia Maria Presti, Paolo |
| AuthorAffiliation | 1 Institute of Neuroscience, National Research Council of Italy , Parma , Italy 2 Department of Medicine and Surgery, University of Parma Parma , Italy 4 Dipartimento Culture del Progetto, University IUAV , Venice , Italy 3 TUNED, Lombardini22 , Milan , Italy |
| AuthorAffiliation_xml | – name: 2 Department of Medicine and Surgery, University of Parma Parma , Italy – name: 1 Institute of Neuroscience, National Research Council of Italy , Parma , Italy – name: 4 Dipartimento Culture del Progetto, University IUAV , Venice , Italy – name: 3 TUNED, Lombardini22 , Milan , Italy |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35784850$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2022 Presti, Ruzzon, Galasso, Avanzini, Caruana and Vecchiato. 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2022 Presti, Ruzzon, Galasso, Avanzini, Caruana and Vecchiato. 2022 Presti, Ruzzon, Galasso, Avanzini, Caruana and Vecchiato |
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| Keywords | virtual reality dynamic walking valence body posture arousal |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Edited by: An ı l Ufuk Batmaz, Kadir Has University, Turkey Reviewed by: Christos Mousas, Purdue University, United States; Dominik M. Endres, University of Marburg, Germany; Christian Graff, Université Grenoble Alpes, France This article was submitted to Perception Science, a section of the journal Frontiers in Neuroscience |
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| Title | The Avatar’s Gist: How to Transfer Affective Components From Dynamic Walking to Static Body Postures |
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