沉浸式分析中扩展数据点的选择

Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology Pub Date : 2022-11-29 DOI:10.1145/3562939.3565645

Inoussa Ouedraogo, Huyen Nguyen, P. Bourdot

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引用次数: 0

摘要

我们提出了一种新的技术来促进数据点的选择，这是我们在沉浸式分析中经常使用的一种数据表示。我们设计并实现了基于Fitt定律的数据点扩展技术。一项用户研究是在基于耳机的增强现实环境中进行的。结果显著地突出了我们的技术在帮助用户选择数据点以及他们在使用消耗性数据点时的主观评价方面的性能。

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Selection of Expanded Data Points in Immersive Analytics

We propose a novel technique to facilitate the selection of data points, a type of data representation we often work with in immersive analytics. We designed and implemented this technique based on the expansion of data points following Fitt’s law. A user study was conducted in an headset-based augmented reality environment. The results significantly highlight the performance of our technique in helping the user select data points and their subjective appreciation in working with the expendable data points.

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Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology

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