Big Data in 3D: Design guidelines for an immersive 3 dimensional approach to Big Data interaction design

Akshay A. S. Rege
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Abstract

The aim of this paper is to inspire the development of Big Data interaction in a 3 dimensional form to make Big Data Visualization more immersive, intuitive, visually engaging and user friendly. This paper initially discusses the current approaches to Big Data interaction and their limitation therein. It then proceeds to review the latest trends and developments in the technology sphere to explore how Big Data interaction could be technologically enhanced. Following which, the paper articulates design guidelines that could be adopted in the design of 3 dimensional Big Data interaction, based on literature research. These guidelines contribute towards visual formatting, information organization and interaction design of Big Data, to make it more human centered. Through proposing the interaction design of Big Data in alignment with the natural orientation of human perception of the world, the paper intends to make the field of data science accessible to all. Lastly, the paper concludes with a discussion of future vision for Big Data interaction.
3D大数据:沉浸式大数据交互设计的三维方法的设计指南
本文旨在以三维形式激发大数据交互的发展,使大数据可视化更具沉浸感、直观、视觉吸引力和用户友好性。本文首先讨论了当前的大数据交互方法及其局限性。然后回顾技术领域的最新趋势和发展,探讨如何在技术上增强大数据交互。然后,在文献研究的基础上,阐述了三维大数据交互设计中可采用的设计准则。这些指导方针有助于大数据的可视化格式化、信息组织和交互设计,使其更加以人为本。通过提出与人类感知世界的自然取向相一致的大数据交互设计,本文旨在使数据科学领域为所有人所接受。最后,本文对大数据交互的未来愿景进行了讨论。
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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