IVMS:基于所见即所得的沉浸式虚拟气象沙盒

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Visual Informatics Pub Date : 2023-12-01 DOI:10.1016/j.visinf.2023.08.001
Hao Hu, Song Wang, Yonghui Chen
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引用次数: 0

摘要

随着沉浸式分析(IA)的成熟,出现了一种可视化表示气象数据的新方法。我们提出了一个沉浸式气象虚拟沙盒,作为二维分析在表达和感知数据方面的局限性的解决方案。这种创新的视觉方法使用户能够通过非接触式空中手势(NCAG)直接与数据交互。参考科学可视化中的“所见即所得”概念,我们提出了一种新的气象数据可视化探索方法,旨在让用户沉浸在分析过程中。我们希望这种方法也能激发其他类型地理数据的沉浸式可视化技术。最后,我们进行了用户问卷调查来评估我们的系统和工作。评价结果表明,系统有效地减轻了认知负担,减轻了心理负担,增强了用户对分析结果的记忆。
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IVMS: An immersive virtual meteorological sandbox based on WYSIWYG

A novel approach to visually represent meteorological data has emerged with the maturation of Immersive Analytics (IA). We have proposed an immersive meteorological virtual sandbox as a solution to the limitations of 2D analysis in expressing and perceiving data. This innovative visual method enables users to interact directly with data through non-contact aerial gestures (NCAG). Referring to the “What you see is what you get” concept in scientific visualization, we proposed a novel approach for the visual exploration of meteorological data that aims to immerse users in the analysis process. We hope this approach can inspire immersive visualization techniques for other types of geographic data as well. Finally, we conducted a user questionnaire to evaluate our system and work. The evaluation results demonstrate that our system effectively reduces cognitive burden, alleviates mental workload, and enhances users’ retention of analysis findings.

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来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
期刊最新文献
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