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° 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.

当代的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，但其实用性受到视觉短期记忆的限制。Janus是一种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合消费者头戴式显示器的视场，从而规避了这种认知限制。所产生的360°视觉体验代表了优于现有科学数据可视化工具的优势，后者试图复制真实世界的观看体验，但也无意中复制了相关的限制。通过以有效避开与身体（或物体）运动相关的认知负荷的方式显示数据，学者可以使用Janus着色器更轻松地进行复杂3D数据集的探索性分析，从而促进科学见解。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），对于在复杂程度从中到低的干预（启用Janus的）VR场景中发生的空间分析任务，观察到了完成时间的统计显着减少。