感知不稳定，适应场景：一种用于稳定VR运动的实时运动平滑设计框架
Sensing Instability, Adapting the Scene: A Real-Time Movement-Smoothing Design Framework for Stable VR Locomotion
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中文总结 AI 辅助
本文提出一种实时运动平滑设计框架，针对VR中站立、行走和转身的不同平衡需求，采用状态感知的视觉适应策略，以支持姿势稳定，指导未来情境感知VR运动系统的发展。
中文摘要 AI 辅助
用户在虚拟现实（VR）中站立、行走和转身时会经历不同的平衡挑战，然而大多数运动技术无论运动状态如何都应用相同的视觉行为。本文提出了一种实时运动平滑设计框架，根据运动特定的平衡需求组织视觉适应。该框架引入了针对站立、行走和转身的三种设计策略，说明了状态感知的视觉适应如何在运动过程中支持姿势稳定性。本文重点介绍框架的设计与实现，而用户研究计划作为未来工作。我们的工作指导了未来情境感知VR运动系统的发展，以更好地支持安全舒适的导航。
英文摘要
Users experience different balance challenges while standing, walking, and turning in virtual reality (VR), yet most locomotion techniques apply the same visual behavior regardless of movement state. We present a real-time movement-smoothing design framework in this paper that organizes visual adaptations according to movement-specific balance demands. The framework introduces three design strategies targeting standing, walking, and turning, illustrating how state-aware visual adaptations can support postural stability during locomotion. This paper focuses on the framework design and implementation, while a user study is planned as future work. Our work guides the development of future context-aware VR locomotion systems that better support safe and comfortable navigation.
发表机构
- Kennesaw State University（肯尼索州立大学）
机构由 AI 辅助整理，请以论文原文为准。
