Multi-User Redirected Walking in Separate Physical Spaces for Online VR Scenarios

Xu, Sen‐Zhe; Liu, Jiahong; Wang, Miao; Zhang, Fang-Lue; Zhang, Song-Hai

doi:10.1109/tvcg.2023.3251648

Cited by 14 publications

(3 citation statements)

References 34 publications

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“…Jeon et al [34] proposed OSP that learns to dynamically partition the physical space that is optimally served to multiple users through reinforcement learning. Xu et al [35] proposed an RDW strategy that can maintain relative virtual positions for users playing online VR games in different physical spaces.…”

Section: Multi-user Rdw and Reset Techniquementioning

confidence: 99%

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Lee,

Jeon,

Cho

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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The reset technique of Redirected Walking (RDW) forcibly reorients the user's direction overtly to avoid collisions with boundaries, obstacles, or other users in the physical space. However, excessive resetting can decrease the user's sense of immersion and presence. Several RDW studies have been conducted to address this issue. Among them, much research has been done on reset techniques that reduce the number of resets by devising reset direction rules or optimizing them for a given environment. However, existing optimization studies on reset techniques have mainly focused on a single-user environment. In a multi-user environment, the dynamic movement of other users and static obstacles in the physical space increase the possibility of resetting. In this study, we propose Multi-Agent Reinforcement Resetter (MARR), which resets the user taking into account both physical obstacles and multi-user movement to minimize the number of resets. MARR is trained using multiagent reinforcement learning to determine the optimal reset direction in different environments. This approach allows MARR to effectively account for different environmental contexts, including arbitrary physical obstacles and the dynamic movements of other users in the same physical space. We compared MARR to other reset technologies through simulation tests and user studies, and found that MARR outperformed the existing methods. MARR improved performance by learning the optimal reset direction for each subtle technique used in training. MARR has the potential to be applied to new subtle techniques proposed in the future. Overall, our study confirmed that MARR is an effective reset technique in multi-user environments.

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Section: Multi-user Rdw and Reset Techniquementioning

confidence: 99%

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Lee,

Jeon,

Cho

et al. 2024

IEEE Trans. Visual. Comput. Graphics

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“…This satisfies the demand for more immersive digital experiences with emerging technologies, such as virtual reality (VR) [13], augmented reality (AR) [14][15][16], mixed reality (MR) [17], and extended reality (XR) [18]. In a global setting, the metaverse brings together various promising technologies, creating a simulated environment that users can immerse themselves in as a virtual world [19][20][21]. Users' digital avatars, which follow the duality principle [22], allow them to engage with this virtual environment.…”

Section: Introductionmentioning

confidence: 99%

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Rejeb

Treiblmaier

2023

Information

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The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and its profound societal impact. While academic interest in the metaverse has surged, a dearth of comprehensive review articles employing bibliometric techniques remains. This study seeks to address this gap by analyzing 595 metaverse-related journal articles using bibliometric and topic modeling techniques, marking the first of its kind to investigate the bibliometric profile of metaverse research. The findings reveal exponential growth in metaverse research since 2020, identifying major trends, prolific authors, and the most active journals in the field. A keyword co-occurrence analysis further uncovers four significant clusters of metaverse-related interests, highlighting its unique facets and underscoring its far-reaching implications across various sectors, including education, healthcare, retail, and tourism. This study emphasizes the need for more research and collaboration in advancing the metaverse field and presents 27 research questions for future investigation. This comprehensive analysis serves as a foundation for understanding the current state of metaverse research and its potential trajectory.

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“…Topology optimization targets on redistributing material to achieve reasonable configuration with prescribed objectives and constraints 43,44 . To date, topology optimization has been applied to metamaterial design in many aspects [45][46][47][48][49][50][51] . As can be seen in Figure 1b, optimized solutions in this study automatically converge into a comprehensive combination of beam, plate, and shell, which can fully utilize material with different structural archetypes.…”

Section: Introductionmentioning

confidence: 99%

Achieving extreme stiffness for beam-plate-shell-combined lattice metamaterial through a multilayer strategy and topology optimization

Du,

Liu,

Wang

et al. 2023

Preprint

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Metamaterials composed of different geometrical primitives have different properties. Corresponding to the fundamental geometrical forms of line, plane, and surface, beam-, plate-, and shell-based cellular lattice metamaterials enjoy many advantages in many aspects, respectively. To fully exploit the advantages of each structural archetype, we propose a multilayer strategy and topology optimization technique to design cellular lattice metamaterial in this study. Under the frame of the multilayer strategy, the design space is enlarged, and the design freedom is increased. Topology optimization is applied to explore better designs in the larger design space. Beam-plate-shell-combined metamaterials automatically emerge from the optimization to achieve extreme stiffness. Benefiting from high stiffness, energy absorption performances of optimized results also demonstrate substantial improvements under large geometrical deformation. The multilayer strategy and topology optimization can also bring a series of tunable dimensions for cellular lattice design, which helps achieve desired mechanical properties, such as isotropic elasticity and functionally grading material property, and superior performances in acoustic tuning, electrostatic shielding, and fluid field tuning. We envision that a broad array of novel synthetic and composite metamaterials with unprecedented performance can be designed with the multilayer strategy and topology optimization.

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Multi-User Redirected Walking in Separate Physical Spaces for Online VR Scenarios

Cited by 14 publications

References 34 publications

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

MARR : A Multi-Agent Reinforcement Resetter for Redirected Walking

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Achieving extreme stiffness for beam-plate-shell-combined lattice metamaterial through a multilayer strategy and topology optimization

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