Grand challenges in immersive analytics

Barrett Ens; Benjamin Bach; Maxime Cordeil; Ulrich Engelke; Marcos Serrano; Wesley Willett; Arnaud Prouzeau; Christoph Anthes; Wolfgang Büschel; Cody Dunne; Tim Dwyer; Jens Grubert; Jason  H Haga; Nurit Kirshenbaum; Dylan Kobayashi; Tica Lin; Monsurat Olaosebikan; Fabian Pointecker; David Saffo; Nazmus Saquib; Dieter Schmalstieg; Danielle Albers Szafir; Matt Whitlock; Yalong Yang

doi:10.1145/3411764.3446866

Grand challenges in immersive analytics

Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett, Arnaud Prouzeau, Christoph Anthes, Wolfgang Büschel, Cody Dunne, Tim Dwyer, Jens Grubert, Jason H Haga, Nurit Kirshenbaum, Dylan Kobayashi, Tica Lin, Monsurat Olaosebikan, Fabian Pointecker, David Saffo, Nazmus SaquibDieter Schmalstieg, Danielle Albers Szafir, Matt Whitlock, Yalong Yang

Department of Human Centred Computing

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

126 Citations (Scopus)

Abstract

Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics. Immersive analytics, grand research challenges, data visualisation, augmented reality, virtual reality.

Original language	English
Title of host publication	Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Editors	Pernille Bjørn, Steven Drucker
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	17
ISBN (Electronic)	9781450380966
DOIs	https://doi.org/10.1145/3411764.3446866
Publication status	Published - 6 May 2021
Event	International Conference on Human Factors in Computing Systems 2021 - Online, Yokohama, Japan Duration: 8 May 2021 → 13 May 2021 Conference number: 39th https://dl.acm.org/doi/book/10.1145/3411763 (Proceedings) https://dl.acm.org/doi/proceedings/10.1145/3411764 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2021
Abbreviated title	CHI 2021
Country/Territory	Japan
City	Yokohama
Period	8/05/21 → 13/05/21
Internet address	https://dl.acm.org/doi/book/10.1145/3411763 (Proceedings) https://dl.acm.org/doi/proceedings/10.1145/3411764 (Proceedings)

Keywords

Augmented reality
Data visualisation
Grand research challenges
Immersive analytics
Virtual reality

Access to Document

10.1145/3411764.3446866

Cite this

Ens, B., Bach, B., Cordeil, M., Engelke, U., Serrano, M., Willett, W., Prouzeau, A., Anthes, C., Büschel, W., Dunne, C., Dwyer, T., Grubert, J., H Haga, J., Kirshenbaum, N., Kobayashi, D., Lin, T., Olaosebikan, M., Pointecker, F., Saffo, D., ... Yang, Y. (2021). Grand challenges in immersive analytics. In P. Bjørn, & S. Drucker (Eds.), Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems Article 459 Association for Computing Machinery (ACM). https://doi.org/10.1145/3411764.3446866

@inproceedings{048cba3fd0f14a2e9c1949d4541be8d6,

title = "Grand challenges in immersive analytics",

abstract = "Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics. Immersive analytics, grand research challenges, data visualisation, augmented reality, virtual reality.",

keywords = "Augmented reality, Data visualisation, Grand research challenges, Immersive analytics, Virtual reality",

author = "Barrett Ens and Benjamin Bach and Maxime Cordeil and Ulrich Engelke and Marcos Serrano and Wesley Willett and Arnaud Prouzeau and Christoph Anthes and Wolfgang B{\"u}schel and Cody Dunne and Tim Dwyer and Jens Grubert and {H Haga}, Jason and Nurit Kirshenbaum and Dylan Kobayashi and Tica Lin and Monsurat Olaosebikan and Fabian Pointecker and David Saffo and Nazmus Saquib and Dieter Schmalstieg and Szafir, {Danielle Albers} and Matt Whitlock and Yalong Yang",

note = "Publisher Copyright: {\textcopyright} 2021 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; International Conference on Human Factors in Computing Systems 2021, CHI 2021 ; Conference date: 08-05-2021 Through 13-05-2021",

year = "2021",

month = may,

day = "6",

doi = "10.1145/3411764.3446866",

language = "English",

editor = "Pernille Bj{\o}rn and Steven Drucker",

booktitle = "Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems",

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

address = "United States of America",

url = "https://dl.acm.org/doi/book/10.1145/3411763, https://dl.acm.org/doi/proceedings/10.1145/3411764",

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Ens, B, Bach, B, Cordeil, M, Engelke, U, Serrano, M, Willett, W, Prouzeau, A, Anthes, C, Büschel, W, Dunne, C, Dwyer, T, Grubert, J, H Haga, J, Kirshenbaum, N, Kobayashi, D, Lin, T, Olaosebikan, M, Pointecker, F, Saffo, D, Saquib, N, Schmalstieg, D, Szafir, DA, Whitlock, M & Yang, Y 2021, Grand challenges in immersive analytics. in P Bjørn & S Drucker (eds), Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems., 459, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2021, Yokohama, Japan, 8/05/21. https://doi.org/10.1145/3411764.3446866

Grand challenges in immersive analytics. / Ens, Barrett; Bach, Benjamin; Cordeil, Maxime et al.
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ed. / Pernille Bjørn; Steven Drucker. New York NY USA: Association for Computing Machinery (ACM), 2021. 459.

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

TY - GEN

T1 - Grand challenges in immersive analytics

AU - Ens, Barrett

AU - Bach, Benjamin

AU - Cordeil, Maxime

AU - Engelke, Ulrich

AU - Serrano, Marcos

AU - Willett, Wesley

AU - Prouzeau, Arnaud

AU - Anthes, Christoph

AU - Büschel, Wolfgang

AU - Dunne, Cody

AU - Dwyer, Tim

AU - Grubert, Jens

AU - H Haga, Jason

AU - Kirshenbaum, Nurit

AU - Kobayashi, Dylan

AU - Lin, Tica

AU - Olaosebikan, Monsurat

AU - Pointecker, Fabian

AU - Saffo, David

AU - Saquib, Nazmus

AU - Schmalstieg, Dieter

AU - Szafir, Danielle Albers

AU - Whitlock, Matt

AU - Yang, Yalong

N1 - Conference code: 39th

PY - 2021/5/6

Y1 - 2021/5/6

N2 - Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics. Immersive analytics, grand research challenges, data visualisation, augmented reality, virtual reality.

AB - Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences. Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption. We present 17 key research challenges developed over multiple sessions by a diverse group of 24 international experts, initiated from a virtual scientific workshop at ACM CHI 2020. These challenges aim to coordinate future work by providing a systematic roadmap of current directions and impending hurdles to facilitate productive and effective applications for Immersive Analytics. Immersive analytics, grand research challenges, data visualisation, augmented reality, virtual reality.

KW - Augmented reality

KW - Data visualisation

KW - Grand research challenges

KW - Immersive analytics

KW - Virtual reality

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U2 - 10.1145/3411764.3446866

DO - 10.1145/3411764.3446866

M3 - Conference Paper

AN - SCOPUS:85137078246

BT - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

A2 - Bjørn, Pernille

A2 - Drucker, Steven

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

T2 - International Conference on Human Factors in Computing Systems 2021

Y2 - 8 May 2021 through 13 May 2021

ER -

Grand challenges in immersive analytics

Abstract

Conference

Keywords

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