Panda, P., Kim, B., Behnam-Asl, S. et al. (1 more author) (2021) Immersive Analytics: A User-Centered Perspective. In: VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, 08-10 Dec 2021, Osaka, Japan. Association for Computing Machinery (ACM) , pp. 1-3. ISBN 978-1-4503-9092-7
Abstract
Researchers have explored using VR and 3D data visualizations for analyzing and presenting data for several decades. Surveys of the literature in the field usually adopt a technical or systemic lens. We propose a survey of the Immersive Analytics literature from the user’s perspective that relates the purpose of the visualization to its technical qualities. We present our preliminary review to describe how device technologies, kinds of representation, collaborative features, and research design have been utilized to accomplish the purpose of the visualization. This poster demonstrates our preliminary investigation, inviting feedback from the VRST community. Our hope is the final version of our review will benefit designers, developers, and practitioners who want to implement immersive visualizations from a Human-Centered Design perspective, and help Immersive Analytics researchers get a better understanding of the gaps in current literature.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Sep 2024 09:30 |
Last Modified: | 30 Sep 2024 12:01 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3489849.3489951 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:217395 |