VRMoVi: Towards an Expressive Visualization for Human Motion and Object Interaction in Virtual Reality
Autor: | Qi, Di, Boyd, LouAnne, Fitzpatrick, Scott, Raswan, Meghna |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Popis: | Virtual reality (VR)-based immersive analysis has become an alternative to traditional approaches for analyzing complex, multidimensional human motion data. However, existing VR-based methods lack detailed information about hand motion and object interaction, which is essential for interpreting human activities and identifying their needs. To address that, we present a new VR system, VRMoVi, with a unique design of three expressive visualization layers: 1) a 3D tube layer for hand/object general motion, 2) a hand-object avatar layer for hand-object interaction animation, and 3) a particle-with-arrow layer for detailed hand positions and orientations. We validated VRMoVi with a real-world VR human motion dataset and conducted a user study with 24 participants. Compared with other visualization conditions, VRMoVi performed significantly better than the traditional 2D condition and slightly better than the standard VR-based condition; users found VRMoVi to be comprehensible, immersive, easy to use, and useful for interpreting human activity data. 10 pages, 5 figures, and 2 tables |
Databáze: | OpenAIRE |
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