A Comparative Performance Study on Immersive Analytics to Support Everyday Use

Bo Sun; Benjamin Weidner; Aleksandr Fritz

doi:10.1109/ICVR51878.2021.9483861

A Comparative Performance Study on Immersive Analytics to Support Everyday Use

Bo Sun, Benjamin Weidner, Aleksandr Fritz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-143
Number of pages	9
ISBN (Electronic)	9781665423090
DOIs	https://doi.org/10.1109/ICVR51878.2021.9483861
State	Published - May 20 2021
Externally published	Yes
Event	7th IEEE International Conference on Virtual Reality, ICVR 2021 - Foshan, China Duration: May 20 2021 → May 22 2021

Publication series

Name	International Conference on Virtual Rehabilitation, ICVR
Volume	2021-May
ISSN (Electronic)	2331-9569

Conference

Conference	7th IEEE International Conference on Virtual Reality, ICVR 2021
Country/Territory	China
City	Foshan
Period	5/20/21 → 5/22/21

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Computer Networks and Communications

Access to Document

10.1109/ICVR51878.2021.9483861

Cite this

Sun, B., Weidner, B., & Fritz, A. (2021). A Comparative Performance Study on Immersive Analytics to Support Everyday Use. In 2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021 (pp. 135-143). Article 9483861 (International Conference on Virtual Rehabilitation, ICVR; Vol. 2021-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVR51878.2021.9483861

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title = "A Comparative Performance Study on Immersive Analytics to Support Everyday Use",

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.",

author = "Bo Sun and Benjamin Weidner and Aleksandr Fritz",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Virtual Reality, ICVR 2021 ; Conference date: 20-05-2021 Through 22-05-2021",

year = "2021",

month = may,

day = "20",

doi = "10.1109/ICVR51878.2021.9483861",

language = "English (US)",

series = "International Conference on Virtual Rehabilitation, ICVR",

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Sun, B, Weidner, B & Fritz, A 2021, A Comparative Performance Study on Immersive Analytics to Support Everyday Use. in 2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021., 9483861, International Conference on Virtual Rehabilitation, ICVR, vol. 2021-May, Institute of Electrical and Electronics Engineers Inc., pp. 135-143, 7th IEEE International Conference on Virtual Reality, ICVR 2021, Foshan, China, 5/20/21. https://doi.org/10.1109/ICVR51878.2021.9483861

A Comparative Performance Study on Immersive Analytics to Support Everyday Use. / Sun, Bo; Weidner, Benjamin; Fritz, Aleksandr.
2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 135-143 9483861 (International Conference on Virtual Rehabilitation, ICVR; Vol. 2021-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A Comparative Performance Study on Immersive Analytics to Support Everyday Use

AU - Sun, Bo

AU - Weidner, Benjamin

AU - Fritz, Aleksandr

PY - 2021/5/20

Y1 - 2021/5/20

N2 - 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.

AB - 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.

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M3 - Conference contribution

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SP - 135

EP - 143

BT - 2021 IEEE 7th International Conference on Virtual Reality, ICVR 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Conference on Virtual Reality, ICVR 2021

Y2 - 20 May 2021 through 22 May 2021

ER -

A Comparative Performance Study on Immersive Analytics to Support Everyday Use

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All Science Journal Classification (ASJC) codes

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