Immersive analytics

Tom Chandler; Maxime Cordeil; Tobias Czauderna; Tim Dwyer; Jaroslaw Glowacki; Cagatay Goncu; Matthias Klapperstueck; Karsten Klein; Kim Marriott; Falk Schreiber; Elliott Wilson

doi:10.1109/BDVA.2015.7314296

Immersive analytics

Tom Chandler, Maxime Cordeil, Tobias Czauderna, Tim Dwyer, Jaroslaw Glowacki, Cagatay Goncu, Matthias Klapperstueck, Karsten Klein, Kim Marriott, Falk Schreiber, Elliott Wilson

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

186 Citations (Scopus)

Abstract

Immersive Analytics is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices.While there is a great deal of past and current work on improving the display technologies themselves, our focus in this position paper is on bringing attention to the higher-level usability and design issues in creating effective user interfaces for data analytics in immersive environments.

Original language	English
Title of host publication	2015 Big Data Visual Analytics (BDVA)
Subtitle of host publication	Hobart, Australia, 22 - 25 September 2015
Editors	Ulrich Engelke, Julian Heinrich, Tomasz Bednarz, Karsten Klein, Quang Vinh Nguyen
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	8
ISBN (Electronic)	9781467373425
ISBN (Print)	9781467373432
DOIs	https://doi.org/10.1109/BDVA.2015.7314296
Publication status	Published - 2015
Event	International Symposium on Big Data Visual Analytics (BDVA 2015) - Hobart, Australia Duration: 22 Sep 2015 → 25 Sep 2015 http://www.bdva.net/2015/

Conference

Conference	International Symposium on Big Data Visual Analytics (BDVA 2015)
Abbreviated title	BDVA 2015
Country/Territory	Australia
City	Hobart
Period	22/09/15 → 25/09/15
Internet address	http://www.bdva.net/2015/

Access to Document

10.1109/BDVA.2015.7314296

Visualisation of large, complex networks through small, beautiful diagrams
Marriott, K., Dwyer, T., Li, Y., Schreiber, F. & Wybrow, M.
Australian Research Council (ARC)
1/08/14 → 30/06/20
Project: Research

Cite this

Chandler, T., Cordeil, M., Czauderna, T., Dwyer, T., Glowacki, J., Goncu, C., Klapperstueck, M., Klein, K., Marriott, K., Schreiber, F., & Wilson, E. (2015). Immersive analytics. In U. Engelke, J. Heinrich, T. Bednarz, K. Klein, & Q. V. Nguyen (Eds.), 2015 Big Data Visual Analytics (BDVA): Hobart, Australia, 22 - 25 September 2015 [7314296] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BDVA.2015.7314296

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title = "Immersive analytics",

abstract = "Immersive Analytics is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices.While there is a great deal of past and current work on improving the display technologies themselves, our focus in this position paper is on bringing attention to the higher-level usability and design issues in creating effective user interfaces for data analytics in immersive environments.",

author = "Tom Chandler and Maxime Cordeil and Tobias Czauderna and Tim Dwyer and Jaroslaw Glowacki and Cagatay Goncu and Matthias Klapperstueck and Karsten Klein and Kim Marriott and Falk Schreiber and Elliott Wilson",

year = "2015",

doi = "10.1109/BDVA.2015.7314296",

language = "English",

isbn = "9781467373432",

editor = "Ulrich Engelke and Julian Heinrich and Tomasz Bednarz and Karsten Klein and Nguyen, {Quang Vinh}",

booktitle = "2015 Big Data Visual Analytics (BDVA)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "International Symposium on Big Data Visual Analytics (BDVA 2015), BDVA 2015 ; Conference date: 22-09-2015 Through 25-09-2015",

url = "http://www.bdva.net/2015/",

}

Chandler, T, Cordeil, M, Czauderna, T, Dwyer, T, Glowacki, J, Goncu, C, Klapperstueck, M, Klein, K, Marriott, K, Schreiber, F & Wilson, E 2015, Immersive analytics. in U Engelke, J Heinrich, T Bednarz, K Klein & QV Nguyen (eds), 2015 Big Data Visual Analytics (BDVA): Hobart, Australia, 22 - 25 September 2015., 7314296, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, International Symposium on Big Data Visual Analytics (BDVA 2015), Hobart, Tasmania, Australia, 22/09/15. https://doi.org/10.1109/BDVA.2015.7314296

Immersive analytics. / Chandler, Tom; Cordeil, Maxime; Czauderna, Tobias et al.

2015 Big Data Visual Analytics (BDVA): Hobart, Australia, 22 - 25 September 2015. ed. / Ulrich Engelke; Julian Heinrich; Tomasz Bednarz; Karsten Klein; Quang Vinh Nguyen. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2015. 7314296.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Immersive analytics

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AU - Cordeil, Maxime

AU - Czauderna, Tobias

AU - Dwyer, Tim

AU - Glowacki, Jaroslaw

AU - Goncu, Cagatay

AU - Klapperstueck, Matthias

AU - Klein, Karsten

AU - Marriott, Kim

AU - Schreiber, Falk

AU - Wilson, Elliott

PY - 2015

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AB - Immersive Analytics is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices.While there is a great deal of past and current work on improving the display technologies themselves, our focus in this position paper is on bringing attention to the higher-level usability and design issues in creating effective user interfaces for data analytics in immersive environments.

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DO - 10.1109/BDVA.2015.7314296

M3 - Conference Paper

SN - 9781467373432

BT - 2015 Big Data Visual Analytics (BDVA)

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A2 - Heinrich, Julian

A2 - Bednarz, Tomasz

A2 - Klein, Karsten

A2 - Nguyen, Quang Vinh

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ

T2 - International Symposium on Big Data Visual Analytics (BDVA 2015)

Y2 - 22 September 2015 through 25 September 2015

ER -

Immersive analytics

Abstract

Conference

Access to Document

Projects

Visualisation of large, complex networks through small, beautiful diagrams

Cite this