超越实验室：基于VERA平台的大规模远程虚拟现实晕动症研究
Beyond the Lab: Large-Scale Remote Cybersickness Research in Virtual Reality Using the VERA Platform
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中文总结 AI 辅助
本研究利用VERA平台开展大规模远程VR晕动症实验，验证了远程研究结果与实验室研究的一致性，并确认了性别、易感性和预期等因素的影响，为远程VR研究提供了方法论基础。
中文摘要 AI 辅助
晕动症（Cybersickness）仍然是虚拟现实（VR）普及的主要障碍，然而现有的大部分知识来源于相对小规模且同质化参与者样本的实验室研究。本文中，我们探讨了远程VR研究是否能够产生与传统实验室实验相当的晕动症研究结果，同时能够覆盖更大规模且更多样化的参与者群体。利用虚拟现实体验研究加速器（Virtual Experience Research Accelerator, VERA）平台，我们部署了标准化的晕动症测试平台（Cybersicker testbed）的远程改编版本，并收集了N=263名参与者使用自有的消费级VR头显的数据。我们将这些结果与先前发表的实验室数据集以及远程样本中人口统计学匹配的子集进行了比较。在不同队列中，晕动症结果在方向和时程模式上保持一致，包括症状发作轨迹、快速运动病量表（Fast Motion Sickness Scale, FMS）评分以及模拟器晕动症问卷（Simulator Sickness Questionnaire, SSQ）反应，这支持了远程晕动症人体受试者研究的有效性。利用更大的远程数据集，我们还考察了与晕动症相关的人口统计学和个体差异因素。这些分析在更大规模上证实了较小实验室样本中报告的性别、晕动症易感性和晕动症预期的影响，并为年龄与晕动症之间备受争议的关系提供了有力的证据。这些发现表明，VERA平台为远程复现实验室研究提供了一种可行的方法，并突显了其支持大规模、人口统计学多样化参与者样本的能力。这项工作为未来大规模远程晕动症研究及其他VR研究主题建立了经过验证的方法论基础。
英文摘要
Cybersickness remains a major barrier for the adoption of virtual reality (VR), yet most existing knowledge is derived from laboratory-based studies with relatively small and homogeneous participant samples. In this paper, we investigate whether remote VR studies can produce cybersickness findings comparable to traditional in-lab experiments while enabling larger and more diverse participant populations. Using the Virtual Experience Research Accelerator (VERA), we deployed a remote adaptation of the standardized Cybersicker testbed for cybersickness research and collected data from N=263 participants using their own consumer VR headsets. We compared these results against a previously published in-lab dataset and a demographically matched subset of the remote sample. Across cohorts, cybersickness outcomes were consistent in direction and temporal pattern, including symptom onset trajectories, Fast Motion Sickness Scale (FMS) ratings, and Simulator Sickness Questionnaire (SSQ) responses, supporting the validity of remote cybersickness human-subjects research. Leveraging the larger remote dataset, we additionally examined demographic and individual-difference factors associated with cybersickness. These analyses confirm at scale the effects of sex, sickness susceptibility, and sickness expectation reported in smaller laboratory samples, and they add well-powered evidence on the contested relationship between age and cybersickness. These findings demonstrate that the VERA platform provides a viable means of remotely replicating laboratory-based studies and highlight its ability to support large, demographically diverse participant samples. This work establishes a validated methodological foundation for future large-scale remote studies of cybersickness and other VR research topics.
发表机构
- University of Central Florida（中佛罗里达大学）
- Technical University of Denmark（丹麦技术大学）
- University of Canterbury（坎特伯雷大学）
- University of Florida（佛罗里达大学）
- Rutgers University（罗格斯大学）
- Davidson College（戴维森学院）
- Stanford University（斯坦福大学）
机构由 AI 辅助整理，请以论文原文为准。
