research-article

Clusters, Trends, and Outliers: How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data

Authors:

Simon Butscher,

Sebastian Hubenschmid,

Johannes Fuchs,

Harald ReitererAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 90, Pages 1 - 12

https://doi.org/10.1145/3173574.3173664

Published: 19 April 2018 Publication History

Abstract

Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to visualize multidimensional data in augmented reality using an interactive, 3D parallel coordinates visualization. The visualization is anchored to a touch-sensitive tabletop, benefiting from well-established interaction techniques. The results of group-based, expert walkthroughs show that ART can facilitate immersion in the data, a fluid analysis process, and collaboration. Based on the results, we provide a set of guidelines and discuss future research areas to foster the development of immersive technologies as tools for the collaborative analysis of multidimensional data.

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Cited By

Zhang YAbdullah M(2024)Integrating Aesthetic Theory into the Design of Immersive Exhibitions for Data ImagingJournal of Information Systems Engineering and Management10.55267/iadt.07.152039:4(25317)Online publication date: 2024
https://doi.org/10.55267/iadt.07.15203
Ouedraogo INguyen HBourdot P(2024)Where to Draw the Line: Physical Space Partitioning and View Privacy in AR-based Co-located Collaboration for Immersive AnalyticsProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682085(1-12)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3677386.3682085
Rasch JPerzl FWeiss YMüller F(2024)Just Undo It: Exploring Undo Mechanics in Multi-User Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642864(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642864
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Index Terms

Clusters, Trends, and Outliers: How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

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Regan Mandryk
University of Saskatchewan, Canada
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University of Waterloo, Canada
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Mark Perry
Brunel University London, UK
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Anna Cox
University College London, UK

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Published: 19 April 2018

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Zhang YAbdullah M(2024)Integrating Aesthetic Theory into the Design of Immersive Exhibitions for Data ImagingJournal of Information Systems Engineering and Management10.55267/iadt.07.152039:4(25317)Online publication date: 2024
https://doi.org/10.55267/iadt.07.15203
Ouedraogo INguyen HBourdot P(2024)Where to Draw the Line: Physical Space Partitioning and View Privacy in AR-based Co-located Collaboration for Immersive AnalyticsProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682085(1-12)Online publication date: 7-Oct-2024
https://dl.acm.org/doi/10.1145/3677386.3682085
Rasch JPerzl FWeiss YMüller F(2024)Just Undo It: Exploring Undo Mechanics in Multi-User Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642864(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642864
Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Quijano-Chavez CDoerr NLee BSchmalstieg DSedlmair M(2024)Brushing and Linking for Situated Analytics2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00116(597-603)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VRW62533.2024.00116
Friedl-Knirsch JStach CPointecker FAnthes CRoth D(2024)A Study on Collaborative Visual Data Analysis in Augmented Reality with Asymmetric Display TypesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.337210330:5(2633-2643)Online publication date: 4-Mar-2024
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Feyer SPinaud BKobourov SBrich NKrone MKerren ABehrisch MSchreiber FKlein K(2024)2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332740230:1(469-479)Online publication date: 1-Jan-2024
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Lin TAouididi AChen ZBeyer JPfister HWang J(2024)VIRD: Immersive Match Video Analysis for High-Performance Badminton CoachingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332716130:1(458-468)Online publication date: 1-Jan-2024
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Batch AButcher PRitsos PElmqvist N(2024)Wizualization: A “Hard Magic” Visualization System for Immersive and Ubiquitous AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332658030:1(507-517)Online publication date: 1-Jan-2024
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Weidinger NEl Sayed NLuzhnica GSchreck TVeas E(2023)Immersive Analysis of Spatiotemporal Racing DataProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3614542(1-12)Online publication date: 13-Oct-2023
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