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      The effects of body direction and posture on taking the perspective of a humanoid avatar in a virtual environment

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          Abstract

          Visual perspective taking is inferring how the world looks to another person. To clarify this process, we investigated whether employing a humanoid avatar as the viewpoint would facilitate an imagined perspective shift in a virtual environment, and which factor of the avatar is effective for the facilitation effect. We used a task that involved reporting how an object looks by a simple direction judgment, either from the avatar’s position or from the position of an empty chair. We found that the humanoid avatar’s presence improved task performance. Furthermore, the avatar’s facilitation effect was observed only when the avatar was facing the visual stimulus to be judged; performance was worse when it faced backwards than when there was only an empty chair facing forwards. This suggests that the avatar does not simply attract spatial attention, but the posture of the avatar is crucial for the facilitation effect. In addition, when the directions of the head and the torso were opposite (i.e., an impossible posture), the avatar’s facilitation effect disappeared. Thus, visual perspective taking might not be facilitated by the avatar when its posture is biomechanically impossible because we cannot embody it. Finally, even when the avatar’s head of the possible posture was covered with a bucket, the facilitation effect was found with the forward-facing avatar rather than the backward-facing avatar. That is, the head/gaze direction cue, or presumably the belief that the visual stimulus to be judged can be seen by the avatar, was not required. These results suggest that explicit perspective taking is facilitated by embodiment towards humanoid avatars.

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          Most cited references43

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              Understanding and sharing intentions: the origins of cultural cognition.

              We propose that the crucial difference between human cognition and that of other species is the ability to participate with others in collaborative activities with shared goals and intentions: shared intentionality. Participation in such activities requires not only especially powerful forms of intention reading and cultural learning, but also a unique motivation to share psychological states with others and unique forms of cognitive representation for doing so. The result of participating in these activities is species-unique forms of cultural cognition and evolution, enabling everything from the creation and use of linguistic symbols to the construction of social norms and individual beliefs to the establishment of social institutions. In support of this proposal we argue and present evidence that great apes (and some children with autism) understand the basics of intentional action, but they still do not participate in activities involving joint intentions and attention (shared intentionality). Human children's skills of shared intentionality develop gradually during the first 14 months of life as two ontogenetic pathways intertwine: (1) the general ape line of understanding others as animate, goal-directed, and intentional agents; and (2) a species-unique motivation to share emotions, experience, and activities with other persons. The developmental outcome is children's ability to construct dialogic cognitive representations, which enable them to participate in earnest in the collectivity that is human cognition.

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Investigation
                Role: Conceptualization
                Role: ConceptualizationRole: Project administration
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 December 2021
                2021
                : 16
                : 12
                : e0261063
                Affiliations
                [1 ] Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan
                [2 ] Department of Information and Computer Science, Keio University, Yokohama, Kanagawa, Japan
                [3 ] Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan
                University College Dublin, IRELAND
                Author notes

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

                Author information
                https://orcid.org/0000-0003-3151-1973
                https://orcid.org/0000-0003-0966-4842
                Article
                PONE-D-21-13176
                10.1371/journal.pone.0261063
                8691602
                34932598
                4e43d10e-bbdb-453e-b3b4-3b0d1a7153a9
                © 2021 Ueda 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
                : 21 April 2021
                : 23 November 2021
                Page count
                Figures: 8, Tables: 0, Pages: 20
                Funding
                Funded by: Japan Science and Technology Agency
                Award ID: JPMJER1701
                Award Recipient :
                Funded by: Japan Society for the Promotion of Science
                Award ID: JP20H04489
                Award Recipient :
                Funded by: Japan Society for the Promotion of Science
                Award ID: JP20K20147
                Award Recipient :
                This research was supported by the Japan Science and Technology Agency's ERATO grant (number JPMJER1701) (Inami JIZAI Body Project) and the Japan Society for the Promotion of Science's KAKENHI grant (numbers JP20H04489 and JP20K20147). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                All raw data files are available at the following DOI (Mendeley data): DOI: 10.17632/vn9r58nvkm.1.

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