虚拟环境中量子物理数据定量可视化的SplitVector编码和立体验证

2015 IEEE Virtual Reality (VR) Pub Date : 2015-03-23 DOI:10.1109/VR.2015.7223347

Jian Chen, Wesley Griffin, Henan Zhao, J. Terrill, G. Bryant

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引用次数: 1

摘要

我们设计并评估了SplitVector，这是一种新的矢量场显示方法，可以帮助科学家对虚拟环境(VEs)中显示的科学数据进行新的识别任务。我们的实证研究将SplitVector方法与其他三种在信息丰富的ve或irve中常见的直接线性表示、日志和文本显示方法进行了比较。结果表明:(1)与线性映射相比，SplitVectors的准确率提高了约10倍，在登录识别任务上提高了4倍;(2) SplitVectors与IRVE文本显示方法无显著差异，但减少了杂乱;(3) SplitVector提高了单眼和立体条件下的任务性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Validation of SplitVector encoding and stereoscopy for quantitative visualization of quantum physics data in virtual environments

We designed and evaluated SplitVector, a new vector field display approach to help scientists perform new discrimination tasks on scientific data shown in virtual environments (VEs). Our empirical study compared the SplitVector approach with three other approaches of direct linear representation, log, and text display common in information-rich VEs or IRVEs. Our results suggest the following: (1) SplitVectors improve the accuracy by about 10 times compared to the linear mapping and by 4 times to log in discrimination tasks; (2) SplitVectors lead to no significant differences from the IRVE text display approach, yet reduce the clutter; and (3) SplitVector improved task performance in both mono and stereoscopy conditions.

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2015 IEEE Virtual Reality (VR)

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