A Comparative Performance Study on Immersive Analytics to Support Everyday Use
Bo Cun Sun, Benjamin Weidner, Aleksandr Fritz · 2021
With the rapid growth of Big Data, Immersive Analytics became an emerging area to help analyze large scale and multidimensional data set. Immersive Analytics relies on immersive data visualization to produce analytical reasoning for data analytics. In this paper, we present two immersive analytics platforms operated on HMD and aim to support everyday use by highlighting their design approaches and differences. We conducted user case studies to further compare their analytical usability and summarized our findings in interaction modalities, physical navigations and visual representations. The research findings provide guidance to future immersive analytics design for everyday use.