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arXiv 2410.18924cs.HCcs.RO
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群体操控:一种在虚拟现实中高效且精确的多对象操控技术

Swarm manipulation: An efficient and accurate technique for multi-object manipulation in virtual reality

University of Cambridge(剑桥大学);Xi’an Jiaotong University(西安交通大学)

Xiang Li, Jin-Du Wang, John J. Dudley, Per Ola Kristensson

AI总结:

针对VR中多对象操控难题,本文提出Swarm Manipulation技术,并通过两项用户研究证明其在选择、旋转和缩放任务中相较虚拟手与光线投射控制器具有更优速度和可用性。

摘要:

群体控制理论在控制多个对象方面展现出前景,然而,可扩展性受到硬件和基础设施等成本约束的阻碍。虚拟现实(VR)能够克服这些限制,但关于VR中群体交互的研究仍然有限。本文介绍了一种新颖的Swarm Manipulation(群体操控)交互技术,并将其与两种基线技术进行比较:Virtual Hand(虚拟手)和Controller(控制器,光线投射)。我们在一项用户研究(N=12)中评估了这些技术,研究涵盖三种任务(选择、旋转和调整大小)以及五种条件。结果表明,Swarm Manipulation产生了更优的性能,在三种任务的大多数条件下速度显著更快。它显著降低了调整大小的尺寸偏差,但在旋转任务中带来了速度与准确性之间的权衡。此外,我们开展了一项后续用户研究(N=6),在两个复杂VR场景中使用Swarm Manipulation,并通过半结构化访谈获得了洞见,揭示了优化的群体控制机制以及这种交互范式所引发的感知变化。这些结果证明,与传统操控技术相比,Swarm Manipulation技术具有提升VR中可用性和用户体验的潜力。在未来研究中,我们旨在通过群体内部粒子协作来理解并改进群体交互。

英文摘要:

The theory of swarm control shows promise for controlling multiple objects, however, scalability is hindered by cost constraints, such as hardware and infrastructure. Virtual Reality (VR) can overcome these limitations, but research on swarm interaction in VR is limited. This paper introduces a novel Swarm Manipulation interaction technique and compares it with two baseline techniques: Virtual Hand and Controller (ray-casting). We evaluated these techniques in a user study ($N$ = 12) in three tasks (selection, rotation, and resizing) across five conditions. Our results indicate that Swarm Manipulation yielded superior performance, with significantly faster speeds in most conditions across the three tasks. It notably reduced resizing size deviations but introduced a trade-off between speed and accuracy in the rotation task. Additionally, we conducted a follow-up user study ($N$ = 6) using Swarm Manipulation in two complex VR scenarios and obtained insights through semi-structured interviews, shedding light on optimized swarm control mechanisms and perceptual changes induced by this interaction paradigm. These results demonstrate the potential of the Swarm Manipulation technique to enhance the usability and user experience in VR compared to conventional manipulation techniques. In future studies, we aim to understand and improve swarm interaction via internal swarm particle cooperation.

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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