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下一代空间计算:AR与VR创新理论与实践
book

下一代空间计算:AR与VR创新理论与实践

by Erin Pangilinan, Steve Lukas, Vasanth Mohan
October 2020
Intermediate to advanced
302 pages
5h 22m
Chinese
Publishing House of Electronics Industry
Content preview from 下一代空间计算:AR与VR创新理论与实践
168
9
数据与机器学习可视化在空间计算中的开发与设计
计的意义,并在一个全新的媒体中构建更有效的数据可视化产品。
通过
设计美学(图形
设计)
图形制作技术(在空间计算中如何创建图形),用户也能更直观地理解如何去
控制自己的数据,以及如何加深对内容主体的理解。那些在空间计算中才有可能实现的
新颖交互,与以往的设计范式不同,它们能使用户在
3D
空间中查看与操作数据,从而
可以开启全新的体验。例如,在
2D
屏幕上绘制
3D
内容通常会慢半拍。这是由于将旋转
后的
3D
对象投影至屏幕上需要耗时的运算,而有时在真实世界中构建
3D
对象会有更快
的响应,空间计算中的数据与机器学习可视化也不例外。
空间计算提供了更多的机制,以直接操作数据,使得开发者能够研究新的人机交互设计
范式,并进一步深入理解人类的认知能力,以及帮助用户从数据中挖掘与理解新的知识
见解。
神经科学、医疗保健技术与生物技术领域的许多研究人员表示,通过对
3D
数据进行重构、
操作及交互,能够更加深入地了解人脑与神经退行性疾病。当这些数据显示在
2D
屏幕
上时,无法直接进行操作。因此,在空间计算中进行数据交互,比在
2D
屏幕上抽象出
一套通过键盘、鼠标或其他工具进行操作的交互方式更为有效。空间计算能帮助用户提
高工作效率,并发掘出新的见解。这在桌面与移动设备上仅靠
2D
形式的交互是无法实
现的。
动画
对于那些基于用户输入的交互体验来说,动画并不一定是必需的。然而,是否响应用户
的输入,是数据可视化与信息图表之间的分界线。抛开数据及定量数据(
Tufte
所谓的“去
量化”
13 ...
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Publisher Resources

ISBN: 9787121386725