ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations

Jiayin Li; Lixiang Zhao; Hai-Ning Liang; Lingyun Yu

doi:10.1109/ISMAR-Adjunct60411.2023.00030

ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations

Jiayin Li
, Lixiang Zhao
, Hai-Ning Liang
, Lingyun Yu

Xi'an Jiaotong-Liverpool University
Hong Kong University of Science and Technology (HKUST)

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

2 Citations (Scopus)

145 Downloads (Pure)

Abstract

Multi-view visualizations play a crucial role in presenting and comparing information within immersive analytics. These views can be positioned at various locations in the immersive environment, with a preference for attaching information close to the actual data, a concept referred to as situated visualization. While existing research has primarily concentrated on the multi-view layout and situated information based on objects' real-world positions, there has been limited exploration of users' subjective preferences for multiple views. These preferences might be influenced by factors such as the user's location, view direction, occlusion in the environment, and also correlate with visualization tasks.
This paper introduces a method for developing a flexible layout for multi-view visualizations. This method takes into account the spatial arrangement of objects in relation to the user's position, viewing angle, and the object of focus. With this data, an optimal layout is generated for the views, ensuring that information maintains an equal distance from the user. Consequently, this promotes easier and more user-friendly information comparison, thus enriching the immersive analytics experience.

Original language	English
Title of host publication	2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Editors	Gerd Bruder, Anne-Helene Olivier, Andrew Cunningham, Evan Yifan Peng, Jens Grubert, Ian Williams
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	108-112
Number of pages	5
ISBN (Electronic)	9798350328912
DOIs	https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030 https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030
Publication status	Published - 16 Oct 2023
Event	2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 - Sydney, Australia Duration: 16 Oct 2023 → 20 Oct 2023

Publication series

Name	Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023

Conference

Conference	2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Country/Territory	Australia
City	Sydney
Period	16/10/23 → 20/10/23

Keywords

Human-centered computing
Visualization
Visualization techniques

Access to Document

ImmerView: Adaptive Multi-View Layout for Immersive Situated VisualizationsFinal published version, 1.25 MBLicence: CC BY

Cite this

Li, J., Zhao, L., Liang, H.-N., & Yu, L. (2023). ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations. In G. Bruder, A.-H. Olivier, A. Cunningham, E. Y. Peng, J. Grubert, & I. Williams (Eds.), 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 108-112). (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030, https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030

Li, Jiayin ; Zhao, Lixiang ; Liang, Hai-Ning et al. / ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). editor / Gerd Bruder ; Anne-Helene Olivier ; Andrew Cunningham ; Evan Yifan Peng ; Jens Grubert ; Ian Williams. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 108-112 (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023).

@inproceedings{fd9d34bf304848dea2951eb12ea6930e,

title = "ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations",

abstract = "Multi-view visualizations play a crucial role in presenting and comparing information within immersive analytics. These views can be positioned at various locations in the immersive environment, with a preference for attaching information close to the actual data, a concept referred to as situated visualization. While existing research has primarily concentrated on the multi-view layout and situated information based on objects' real-world positions, there has been limited exploration of users' subjective preferences for multiple views. These preferences might be influenced by factors such as the user's location, view direction, occlusion in the environment, and also correlate with visualization tasks. This paper introduces a method for developing a flexible layout for multi-view visualizations. This method takes into account the spatial arrangement of objects in relation to the user's position, viewing angle, and the object of focus. With this data, an optimal layout is generated for the views, ensuring that information maintains an equal distance from the user. Consequently, this promotes easier and more user-friendly information comparison, thus enriching the immersive analytics experience.",

keywords = "Human-centered computing, Visualization, Visualization techniques",

author = "Jiayin Li and Lixiang Zhao and Hai-Ning Liang and Lingyun Yu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 ; Conference date: 16-10-2023 Through 20-10-2023",

year = "2023",

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Li, J, Zhao, L, Liang, H-N & Yu, L 2023, ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations. in G Bruder, A-H Olivier, A Cunningham, EY Peng, J Grubert & I Williams (eds), 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023, Institute of Electrical and Electronics Engineers Inc., pp. 108-112, 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023, Sydney, Australia, 16/10/23. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030, https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00030

ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations. / Li, Jiayin; Zhao, Lixiang; Liang, Hai-Ning et al.
2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). ed. / Gerd Bruder; Anne-Helene Olivier; Andrew Cunningham; Evan Yifan Peng; Jens Grubert; Ian Williams. Institute of Electrical and Electronics Engineers Inc., 2023. p. 108-112 (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023).

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

TY - GEN

T1 - ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations

AU - Li, Jiayin

AU - Zhao, Lixiang

AU - Liang, Hai-Ning

AU - Yu, Lingyun

PY - 2023/10/16

Y1 - 2023/10/16

N2 - Multi-view visualizations play a crucial role in presenting and comparing information within immersive analytics. These views can be positioned at various locations in the immersive environment, with a preference for attaching information close to the actual data, a concept referred to as situated visualization. While existing research has primarily concentrated on the multi-view layout and situated information based on objects' real-world positions, there has been limited exploration of users' subjective preferences for multiple views. These preferences might be influenced by factors such as the user's location, view direction, occlusion in the environment, and also correlate with visualization tasks. This paper introduces a method for developing a flexible layout for multi-view visualizations. This method takes into account the spatial arrangement of objects in relation to the user's position, viewing angle, and the object of focus. With this data, an optimal layout is generated for the views, ensuring that information maintains an equal distance from the user. Consequently, this promotes easier and more user-friendly information comparison, thus enriching the immersive analytics experience.

AB - Multi-view visualizations play a crucial role in presenting and comparing information within immersive analytics. These views can be positioned at various locations in the immersive environment, with a preference for attaching information close to the actual data, a concept referred to as situated visualization. While existing research has primarily concentrated on the multi-view layout and situated information based on objects' real-world positions, there has been limited exploration of users' subjective preferences for multiple views. These preferences might be influenced by factors such as the user's location, view direction, occlusion in the environment, and also correlate with visualization tasks. This paper introduces a method for developing a flexible layout for multi-view visualizations. This method takes into account the spatial arrangement of objects in relation to the user's position, viewing angle, and the object of focus. With this data, an optimal layout is generated for the views, ensuring that information maintains an equal distance from the user. Consequently, this promotes easier and more user-friendly information comparison, thus enriching the immersive analytics experience.

KW - Human-centered computing

KW - Visualization

KW - Visualization techniques

UR - https://www.scopus.com/pages/publications/85180369103

U2 - 10.1109/ISMAR-Adjunct60411.2023.00030

DO - 10.1109/ISMAR-Adjunct60411.2023.00030

M3 - Conference Proceeding

AN - SCOPUS:85180369103

T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023

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EP - 112

BT - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)

A2 - Bruder, Gerd

A2 - Olivier, Anne-Helene

A2 - Cunningham, Andrew

A2 - Peng, Evan Yifan

A2 - Grubert, Jens

A2 - Williams, Ian

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023

Y2 - 16 October 2023 through 20 October 2023

ER -

Li J, Zhao L, Liang HN, Yu L. ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations. In Bruder G, Olivier AH, Cunningham A, Peng EY, Grubert J, Williams I, editors, 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Institute of Electrical and Electronics Engineers Inc. 2023. p. 108-112. (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023). doi: 10.1109/ISMAR-Adjunct60411.2023.00030, 10.1109/ISMAR-Adjunct60411.2023.00030

ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations

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