虚拟现实中杂乱环境对自我中心距离感知的影响
Effects of Clutter on Egocentric Distance Perception in Virtual Reality
AI总结：
本研究通过60名参与者在不同杂乱程度和视场角条件下的盲走实验，发现环境杂乱增加、室内环境以及更宽视场角均能提升虚拟现实中的自我中心距离判断准确性。
摘要：
为了评估杂乱环境对自我中心距离感知的影响，我们在四个具有三种杂乱程度的不同虚拟环境（VEs）中开展了一项混合设计研究，共有60名参与者。此外，我们还比较了室内/室外虚拟环境特征以及头戴式显示器（HMD）的视场角（FOV）。参与者背着背包式计算机并佩戴宽视场头戴式显示器，通过盲走向三个不同距离的目标，距离分别为3米、4.5米和6米。HMD的视场角通过程序限制为165°×110°、110°×110°或45°×35°。结果表明，环境中杂乱程度的增加会带来更精确的距离判断和更少的低估，且这一结果与视场角无关。与室外虚拟环境相比，室内虚拟环境表现出更准确的距离判断。此外，参与者在通过更宽视场角观察虚拟环境时做出的判断更准确。
英文摘要：
To assess the impact of clutter on egocentric distance perception, we performed a mixed-design study with 60 participants in four different virtual environments (VEs) with three levels of clutter. Additionally, we compared the indoor/outdoor VE characteristics and the HMD's FOV. The participants wore a backpack computer and a wide FOV head-mounted display (HMD) as they blind-walked towards three distinct targets at distances of 3m, 4.5m, and 6m. The HMD's field of view (FOV) was programmatically limited to 165°$\times$110°, 110°$\times$110°, or 45°$\times$35°. The results showed that increased clutter in the environment led to more precise distance judgment and less underestimation, independent of the FOV. In comparison to outdoor VEs, indoor VEs showed more accurate distance judgment. Additionally, participants made more accurate judgements while looking at the VEs through wider FOVs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
