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

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

6 Citations (Scopus)

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'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Editors	Joanna McGrenere, Andy Cockburn
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	7
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3375145
Publication status	Published - 2020
Event	International Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America Duration: 25 Apr 2020 → 30 Apr 2020 Conference number: 38th https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2020
Abbreviated title	CHI 2020
Country/Territory	United States of America
City	Honolulu
Period	25/04/20 → 30/04/20
Internet address	https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Keywords

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

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10.1145/3334480.3375145

Cite this

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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",

doi = "10.1145/3334480.3375145",

language = "English",

editor = "McGrenere, {Joanna } and Cockburn, {Andy }",

booktitle = "CHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

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

url = "https://chi2020.acm.org, https://dl.acm.org/doi/proceedings/10.1145/3313831",

}

Ens, B, Bach, B, Cordeil, M, Engelke, U, Serrano, M & Willett, W 2020, Envisioning future productivity for immersive analytics. in J McGrenere & A Cockburn (eds), CHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3375145, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2020, Honolulu , Hawaii, United States of America, 25/04/20. https://doi.org/10.1145/3334480.3375145

Envisioning future productivity for immersive analytics. / Ens, Barrett; Bach, Benjamin; Cordeil, Maxime et al.
CHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. ed. / Joanna McGrenere; Andy Cockburn. New York NY USA: Association for Computing Machinery (ACM), 2020. 3375145.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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

N1 - Conference code: 38th

PY - 2020

Y1 - 2020

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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M3 - Conference Paper

AN - SCOPUS:85090214785

BT - CHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

A2 - McGrenere, Joanna

A2 - Cockburn, Andy

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

T2 - International Conference on Human Factors in Computing Systems 2020

Y2 - 25 April 2020 through 30 April 2020

ER -

Envisioning future productivity for immersive analytics

Abstract

Conference

Keywords

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