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arXiv 2607.02430cs.HC

物理表面使虚拟现实中的触控交互更精确、高效且支持双手操作

Physical surfaces make touch interactions in virtual reality precise, efficient, and bimanual

University of Virginia(弗吉尼亚大学)

Wen Ying, Seongkook Heo

AI总结:

研究比较了无触觉反馈、触觉反馈和物理表面三种条件对VR高精度任务的影响,发现物理表面显著提升选择精度、追踪效率和草图质量,并增加双手使用。

摘要:

虚拟现实(VR)系统可以在多样化的工作场景中实现便捷的手部交互。然而,空中手势缺乏触觉反馈和支撑手的物理参考表面。这种触觉基础的缺失会导致在实现精确高效的触控交互时面临重大挑战。本文研究了不同类型的手部接地触觉反馈对需要高精度的VR任务(如选择、追踪和素描)的触控性能的影响。我们比较了三种触觉反馈级别:1)无触觉反馈,仅提供视觉反馈;2)触觉反馈,用户在触摸虚拟表面时接收振动触觉和压力反馈;3)物理表面,用户与便携式可触摸表面交互。我们的研究发现,便携式物理表面实现了最佳的选择精度、追踪效率和素描质量。此外,参与者在任务中与物理表面互动时表现出更高的双手利用率。这些观察到的行为与参与者偏好与物理表面交互一致,归因于更好的信心和控制感。

英文摘要:

Virtual reality (VR) systems can enable convenient hand-based interactions across diverse work scenarios. However, mid-air gestures lack tactile feedback and a physical reference surface to support the hand. This absence of haptic grounding can cause significant challenges in achieving precise and efficient touch interactions. This paper investigates the effect of different types of hand-grounded haptic feedback on the touch performance of VR tasks that demand high precision, such as selecting, tracing, and sketching. We compared three levels of haptic feedback: 1) No Haptic Feedback, where only visual feedback was provided; 2) Tactile Feedback, where users received vibrotactile and pressure feedback upon touching a virtual surface; 3) Physical Surface, where users interacted with a portable and tangible surface. Our study found that portable physical surfaces enabled the best selection precision, tracing efficiency, and sketch quality. Furthermore, participants showed increased bimanual hand utilization when engaging with a physical surface during tasks. These observed behaviors corresponded to participants' preference for interacting with physical surfaces, attributed to a better sense of confidence and control.

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。

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