Envisioning future productivity for immersive analytics

Barrett Ens; Benjamin Bach; Maxime Cordeil; Ulrich Engelke; Marcos Serrano; Wesley Willett

doi:10.1145/3334480.3375145

Envisioning future productivity for immersive analytics

Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett

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

Abstract

Immersive technologies have opened many opportunities for the visual analytics and visualisation community. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction design in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we propose to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research.

Original language	English
Title of host publication	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery, Inc
Number of pages	7
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3375145
Publication status	Published - 25 Apr 2020
Event	ACM CHI Conference on Human Factors in Computing Systems - Hawaiʻi Convention Center on the island of Oahu, Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020 https://chi2020.acm.org/

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20
Internet address	https://chi2020.acm.org/

Keywords / Materials (for Non-textual outputs)

Augmented reality
Data visualization
Immersive analytics
Situated analytics
Spatial interactions
Virtual reality

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10.1145/3334480.3375145Licence: All Rights Reserved

https://dl.acm.org/doi/10.1145/3334480.3375145Licence: All Rights Reserved

Cite this

@inproceedings{cc4f30fc53624cf59f9ef05118fcd737,

title = "Envisioning future productivity for immersive analytics",

abstract = "Immersive technologies have opened many opportunities for the visual analytics and visualisation community. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction design in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we propose to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research.",

keywords = "Augmented reality, Data visualization, Immersive analytics, Situated analytics, Spatial interactions, Virtual reality",

author = "Barrett Ens and Benjamin Bach and Maxime Cordeil and Ulrich Engelke and Marcos Serrano and Wesley Willett",

year = "2020",

month = apr,

day = "25",

doi = "10.1145/3334480.3375145",

language = "English",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery, Inc",

note = "ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

url = "https://chi2020.acm.org/",

}

Ens, B, Bach, B, Cordeil, M, Engelke, U, Serrano, M & Willett, W 2020, Envisioning future productivity for immersive analytics. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., W39, Association for Computing Machinery, Inc, ACM CHI Conference on Human Factors in Computing Systems, Honolulu, Hawaii, United States, 25/04/20. https://doi.org/10.1145/3334480.3375145

TY - GEN

T1 - Envisioning future productivity for immersive analytics

AU - Ens, Barrett

AU - Bach, Benjamin

AU - Cordeil, Maxime

AU - Engelke, Ulrich

AU - Serrano, Marcos

AU - Willett, Wesley

PY - 2020/4/25

Y1 - 2020/4/25

N2 - Immersive technologies have opened many opportunities for the visual analytics and visualisation community. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction design in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we propose to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research.

AB - Immersive technologies have opened many opportunities for the visual analytics and visualisation community. However, despite an emerging focus on immersive analytics research, there is currently a lack of coherent and broadly applicable visualisation and interaction design in order to make immersive analytics systems productive and usable in real world scenarios. In this workshop, we propose to identify a road-map towards productive user interfaces for immersive analytics. In particular we aim to understand how we can effectively support specific visualisation and analytics tasks in VR/AR, and identify the interactions needed to support these. Our goal is to catalyse the research community and lead toward a reference paper to inform future research.

KW - Augmented reality

KW - Data visualization

KW - Immersive analytics

KW - Situated analytics

KW - Spatial interactions

KW - Virtual reality

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U2 - 10.1145/3334480.3375145

DO - 10.1145/3334480.3375145

M3 - Conference contribution

AN - SCOPUS:85090214785

BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery, Inc

T2 - ACM CHI Conference on Human Factors in Computing Systems

Y2 - 25 April 2020 through 30 April 2020

ER -

Envisioning future productivity for immersive analytics

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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