A Comparative Performance Study on Immersive Analytics to Support Everyday Use

Bo Sun, Benjamin Weidner, Aleksandr Fritz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-143
Number of pages9
ISBN (Electronic)9781665423090
DOIs
StatePublished - May 20 2021
Externally publishedYes
Event7th IEEE International Conference on Virtual Reality, ICVR 2021 - Foshan, China
Duration: May 20 2021May 22 2021

Publication series

NameInternational Conference on Virtual Rehabilitation, ICVR
Volume2021-May
ISSN (Electronic)2331-9569

Conference

Conference7th IEEE International Conference on Virtual Reality, ICVR 2021
Country/TerritoryChina
CityFoshan
Period5/20/215/22/21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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