ArticleIEEE computer graphics and applications
Challenges and Opportunities for Theory-Grounded Data Visualization in Extended Reality.
Article in IEEE computer graphics and applications. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Numerous frameworks have been developed for creating, interpreting, and teaching data visualizations. The past decade has seen advances in visualization paradigms beyond keyboard and mouse (e.g., immersive analytics). While mature visualization libraries exist for screen-based technologies, no comparable counterparts have emerged for immersive visualization due to scattered platforms, while theoretical frameworks require inclusion of extended reality (XR) and 3-D visualizations tailored to embodied exploration. Here, we synthesize challenges and opportunities for theory-grounded data visualization in XR to examine how established principles translate and expand to immersive environments. This work supports the development of both theory and practical tools for principled data visualization and exploration using XR in support of real-world applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.