Two Handed Selection Techniques for Volumetric Data
Two Handed Selection Techniques for Volumetric Data
复制标题
体积数据的双手选择技术
DOI：
10.1109/3dui.2007.340782
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
L. Hodges
中科院分区：
文献类型：
--
作者：
Amy Banic;Catherine A. Zanbaka;Z. Wartell;P. Goolkasian;L. Hodges
我们开发了三种不同的双手选择技术，用于使用基于飞溅的渲染的体积数据可视化。两种技术是双手不对称的，每只手都有不同的任务。一种技巧是双手对称，每只手都有同样的任务。然后根据准确性、完成时间、TLX工作量评估、总体舒适性和疲劳性、易用性和易学性对这些技术进行评估。我们的研究结果表明，双手不对称选择技术在执行潜在长时间的总选择和认知要求高的任务时最好使用。但是，当需要最优的精度时，选择双手对称技术是最好的
We developed three distinct two-handed selection techniques for volumetric data visualizations that use splat-based rendering. Two techniques are bimanual asymmetric, where each hand has a different task. One technique is bimanual symmetric, where each hand has the same task. These techniques were then evaluated based on accuracy, completion times, TLX workload assessment, overall comfort and fatigue, ease of use, and ease of learning. Our results suggest that the bimanual asymmetric selection techniques are best used when performing gross selection for potentially long periods of time and for cognitively demanding tasks. However when optimum accuracy is needed, the bimanual symmetric technique was best for selection