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How to Categorize Collaboration During a Collaborative Puzzle-Solving Task? Validation of Collaboration Profiles Using Multimodal Data in Virtual Reality Context

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Recherche Data Gouv France2025-01-01 更新2026-04-09 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/EXEE2Z
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The following dataset presents 11 collaborative scenarios during a dyadic collaborative puzzle-solving task in VR. Each scenario represents specific collaboration profiles and their implication in the realisation of the collaborative task. The data was recorded using the Microsoft \psi framework. This framework allows the synchronization and recording of multimodal data. One of the advantages of this framework is that datasets can be replayed and processed as if they were currently being recorded. This feature makes it possible to test the effectiveness of tools or methods for evaluating collaboration processes in real time. This functionality is the reason why we share datasets in the format specific to the data acquisition framework. The datasets comes with sample code and documentation, so that researchers can exploit the dataset. Researchers can also generate CSV or JSON files when replaying the dataset. Examples are provided in the sample code.
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2025-01-01
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