Augmenting Static Visualizations with PapARVis Designer
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Abstract (arXiv)
This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality. Augmenting static visualizations can leverage the best of both physical and digital worlds, but its creation currently involves different tools and devices, without any means to explicitly design and debug both static and virtual content simultaneously. To address these issues, we design an environment that seamlessly integrates all steps of a design and deployment workflow through its main features: i) an extension to Vega, ii) a preview, and iii) debug hints that facilitate valid combinations of static and augmented content. We inform our design through a design space with four ways to augment static visualizations. We demonstrate the expressiveness of our tool through examples, including books, posters, projections, wall-sized visualizations. A user study shows high user satisfaction of our environment and confirms that participants can create augmented visualizations in an average of 4.63 minutes.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Oct 2023.
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Citing papers per year: 2024: 2; 2025: 2; 2026: 1.
5 papers.
- 2024Augmented Object Intelligence with XR-Objectscited by 12
- 2025Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representationscited by 1
- 2024RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Modelscited by 0
- 2025Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perceptioncited by 0
- 2026From Static to Interactive: Authoring Interactive Visualizations via Natural Languagecited by 0
- 2026From Static to Interactive: Authoring Interactive Visualizations via Natural Language25 Jan 2026
- 2025Reality Proxy: Fluid Interactions with Real-World Objects in MR via Abstract Representations23 Jul 2025
- 2025Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception24 Feb 2025
- 2024RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Models28 May 2024
- 2024Augmented Object Intelligence with XR-Objects20 Apr 2024