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Social Pressure in Co-Manipulation: From Verification of Refrains in Communication During Fusion Avatar Manipulation

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Collaboration Technologies and Social Computing (CollabTech 2023)

Abstract

In this study, we analyzed subjective comments on behavioral strategies that indicate negativity toward the partner during joint manipulation of the same avatar by participants who had never met each other before. We validated using the Tele-nininnbaori task: Two participants intervened with asymmetric information about the manipulation and the task for a single arm-shaped object and performed the task while communicating with each other through gestures. In previous studies, researchers have conducted validation between operators who have established some degree of relationship with each other. In this study, we designed a validation experiment in which two first-time participants were the experimenters. We obtained subjective comments on the behavioral strategies of the operators on the side who knew the task’s goal but had constraints on the operation in the form of post-experiment interviews, in which they expressed negativity toward the perceptions and actions of the other party. For the mentioned negation behavior strategies, two persons involved in the experiment made assignments to the classification items created by overlooking the strategies all participants took. As a result, we confirmed that the strategy of explicit denial by shaking the object sideways, which has been taken in many previous studies, was hardly used, confirming the occurrence of refrains due to social pressure of communication in multi-person avatar manipulation.

Supported by JST Moonshot R &D Program “Cybernetic being” Project (Grant number JPMJMS2013).

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Correspondence to Taichi Sono .

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Sono, T., Osawa, H. (2023). Social Pressure in Co-Manipulation: From Verification of Refrains in Communication During Fusion Avatar Manipulation. In: Takada, H., Marutschke, D.M., Alvarez, C., Inoue, T., Hayashi, Y., Hernandez-Leo, D. (eds) Collaboration Technologies and Social Computing. CollabTech 2023. Lecture Notes in Computer Science, vol 14199. Springer, Cham. https://doi.org/10.1007/978-3-031-42141-9_20

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  • DOI: https://doi.org/10.1007/978-3-031-42141-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42140-2

  • Online ISBN: 978-3-031-42141-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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