虚拟手可视性如何影响虚拟现实中有形物体的近场尺寸感知和报告的实证评估。

IF 6.5
Chandni Murmu, Rohith Venkatakrishnan, Roshan Venkatakrishnan, Wen-Chieh Lin, Andrew C Robb, Christopher Pagano, Sabarish V Babu
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引用次数: 0

摘要

在沉浸式虚拟环境(IVEs)中,准确的尺寸感知至关重要,特别是在模拟现实世界任务的训练模拟中,例如核电站控制室或医疗程序。这些模拟有不同大小的刻度盘或仪器。在虚拟现实(VR)中,物体单独的视觉信息往往无法捕捉到细微的尺寸差异。然而,整合触觉和手的化身可能会潜在地提高准确性和性能。这种改进对于手间歇性可见或模糊的现实场景尤其有益。为了研究当与触觉信息相结合时,这种间歇性存在或不存在的身体比例手部虚拟形象如何影响尺寸感知,我们在VR中使用近场尺寸估计任务进行了2×2混合因子实验设计。实验条件比较了在感知和报告阶段有或没有虚拟手可见性的尺寸估计。这项任务包括16个大小不同的可抓取物体,每个参与者(总共80名参与者)在48次试验中随机重复3次。我们采用线性混合模型(lmm)分析客观测量:感知大小,残差和比例误差。结果显示,随着有形可抓大小的增加,如果在报告阶段可以看到手头像,则高估会减少。此外,如果在报告阶段可以看到人工头像,那么随着试验次数的增加,高估也会减少。因此,手头像的存在促进了感知校准。这项新颖的研究,将手-化身可见性的不同组合,将感知和大小报告作为两个独立的阶段,可以在更复杂的场景中为感官模式的精细整合开辟未来的研究方向,从而提高现实世界的应用性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Empirical Evaluation of How Virtual Hand Visibility Affects Near-Field Size Perception and Reporting of Tangible Objects in Virtual Reality.

In immersive virtual environments (IVEs), accurate size perception is critical, especially in training simulations designed to mimic real-world tasks, such as, nuclear power plant control room or medical procedures. These simulations have dials or instruments of varying sizes. Visual information of the objects alone, often fails to capture subtle size differences in virtual reality (VR). However, integrating haptic and hand-avatars may potentially improve accuracy and performance. This improvement could be especially beneficial for real-world scenarios where hand(s) are intermittently visible or obscured. To investigate how this intermittent presence or absence of body-scaled hand-avatars affects size perception when integrated with haptic information, we conducted 2×2 mixed-factorial experiment design using a near-field, size-estimation task in VR. The experiment conditions compared size estimations with or without virtual hand visibility in the perception and reporting phases. The task involved 16 graspable objects of varying sizes and randomly repeated 3 times across 48 trials per participant (total 80 participants). We employed Linear Mixed Models (LMMs) analysis to objective measures: perceived size, residual error and proportional errors. Results revealed that as the tangible-graspable size increases, overestimation reduces if the hand-avatars are visible in the reporting phase. Also, overestimation reduces as the number of trials increases, if the hand-avatars are visible in the reporting phase. Thus, the presence of hand-avatars facilitated perceptual calibration. This novel study, with different combinations of hand-avatar visibility, taking perception and reporting of size as two separate phases, could open future research directions in more complex scenarios for refined integration of sensory modalities and consequently enhance real-world application performance.

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