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Motivations, design, and preliminary testing for a 360 degrees vision simulator

机译:360度视觉模拟器的动机,设计和初步测试

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摘要

Contemporary virtual reality systems enable academics to more efficiently explore and analyze complex three-dimensional (3D) content, but their utility is limited by visual short-term memory. Janus, a geometry agnostic shader script, circumvents this cognitive limitation by automatically rendering complex object meshes to fit entirely within the field-of-view of consumer head-mounted displays. The resulting 360 degrees vision experience represents an advantage over existing scientific data visualization tools, which have sought to replicate real-world viewing experiences but have inadvertently replicated associated limitations as well. By presenting data in such a way so as to effectively circumvent cognitive loads associated with body (or object) movement, academics can use the Janus shader to more readily engage in the exploratory analysis of complex 3D data sets, thereby facilitating scientific insight. This paper explores the motivations and design of the Janus shader and describes preliminary results from user testing conducted under controlled conditions. For the 24 study participants (N = 24), statistically significant time-to-completion decreases were observed for spatial analysis tasks taking place in intervention (Janus-enabled) VR scenes of low-to-moderate complexity.
机译:当代虚拟现实系统使学者能够更有效地探索和分析复杂的三维(3D)内容,但它们的实用性受到视觉短期记忆的限制。Janus是一个几何不可知的着色器脚本,它通过自动渲染复杂的对象网格以完全适应消费者头戴式显示器的视野,绕过了这种认知限制。由此产生的360度视觉体验代表了现有科学数据可视化工具的优势,这些工具试图复制真实世界的观看体验,但无意中也复制了相关的限制。通过以有效规避与身体(或物体)运动相关的认知负荷的方式呈现数据,学者可以使用Janus着色器更容易地参与复杂3D数据集的探索性分析,从而促进科学洞察力。本文探讨了Janus着色器的动机和设计,并描述了在受控条件下进行的用户测试的初步结果。对于24名研究参与者(N=24),在干预(Janus-enabled)低到中等复杂度的虚拟现实场景中进行的空间分析任务的完成时间在统计学上显著减少。

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