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abstract

SnapChart: an Augmented Reality Analytics Toolkit to Enhance Interactivity in a Collaborative Environment

Published: 14 November 2019 Publication History

Abstract

Collaborative Immersive Analytics (IA) is a tool which enables multiple people to explore the same dataset using immersive technologies, such as Augmented Reality (AR) or Virtual Reality (VR). In this poster, we describe a system which uses AR to provide situated 3D visualisations in a practical agile collaborative setting. Through a preliminary user study we found that our system helps users accept the concept of IA while enhancing engagement and interactivity during AR collaboration.

References

[1]
Dominikus Baur. 2017. Can Augmented Reality solve Mobile Visualization?https://hackernoon.com/can-augmented-reality-solve-mobile-visualization-f06c008f8f84
[2]
Wolfgang Büschel and Raimund Dachselt. 2015. Here and Now : Reality-Based Information Retrieval. May (2015).
[3]
Sean White. 2008. Interaction and Presentation Techniques for Situated Visualization. (2008).

Cited By

View all
  • (2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
  • (2023)GenAIR: Exploring Design Factor of Employing Generative AI for Augmented RealityProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3618018(1-3)Online publication date: 13-Oct-2023
  • (2023)Towards Using Generative AI for Facilitating Image Creation in Spatial Augmented Reality2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00095(441-443)Online publication date: 16-Oct-2023
  • Show More Cited By

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Published In

cover image ACM Conferences
VRCAI '19: Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry
November 2019
354 pages
ISBN:9781450370028
DOI:10.1145/3359997
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2019

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Author Tags

  1. Augmented Reality visualisation
  2. Collaborative Immersive Analytics
  3. Human-Computer Interaction

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  • Abstract
  • Research
  • Refereed limited

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VRCAI '19
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Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

View all
  • (2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
  • (2023)GenAIR: Exploring Design Factor of Employing Generative AI for Augmented RealityProceedings of the 2023 ACM Symposium on Spatial User Interaction10.1145/3607822.3618018(1-3)Online publication date: 13-Oct-2023
  • (2023)Towards Using Generative AI for Facilitating Image Creation in Spatial Augmented Reality2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00095(441-443)Online publication date: 16-Oct-2023
  • (2023)Extended Reality for Knowledge Work in Everyday EnvironmentsEveryday Virtual and Augmented Reality10.1007/978-3-031-05804-2_2(21-56)Online publication date: 19-Feb-2023
  • (2022)Comparing Gaze-Supported Modalities with Empathic Mixed Reality Interfaces in Remote Collaboration2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00102(837-846)Online publication date: Oct-2022
  • (2021)Interdisciplinary Collaboration in Augmented Reality Development - A Process ModelAugmented Reality, Virtual Reality, and Computer Graphics10.1007/978-3-030-87595-4_14(178-194)Online publication date: 7-Sep-2021

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