From Notebooks to Immersion: Integrating Augmented Reality into Data Science Workflows
Derek Willis and J. Edward Swan II. From Notebooks to Immersion: Integrating Augmented Reality into Data Science Workflows. In IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2026), IEEE Computer Society, March 2026. in press
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Abstract
Data-science notebooks support iterative analysis but are typically limited tomonoscopic 2D displays. We present XRGL, a notebook-native workflow integrating augmented reality (AR) to enable immersive inspection of 3D visualizations while preserving established notebook practices. Unlike prior work that emphasizes immersive environments as the primary analytic workspace [2], XRGL separates interaction modes: analysis and authoring remain on the desktop, while spatial inspection is performed in AR. An exploratory user evaluation suggests the workflow is usable and supports smooth transitions between desktop and immersive views. This work demonstrates the feasibility of integrating notebook-based analysis with AR without disrupting existing workflows.
BibTeX
@InProceedings{IEEEVR26-n2i,
author = {Derek Willis and J. Edward {Swan~II}},
title = {From Notebooks to Immersion: Integrating Augmented Reality into
Data Science Workflows},
booktitle = {IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts
and Workshops (VRW 2026)},
year = 2026,
location = {Daegu, Korea},
publisher = {IEEE Computer Society},
date = {March 21--25},
month = {March},
note = {in press},
abstract = {
Data-science notebooks support iterative analysis but are typically limited to
monoscopic 2D displays. We present XRGL, a notebook-native workflow integrating
augmented reality (AR) to enable immersive inspection of 3D visualizations while
preserving established notebook practices. Unlike prior work that emphasizes
immersive environments as the primary analytic workspace [2], XRGL separates
interaction modes: analysis and authoring remain on the desktop, while spatial
inspection is performed in AR. An exploratory user evaluation suggests the
workflow is usable and supports smooth transitions between desktop and immersive
views. This work demonstrates the feasibility of integrating notebook-based
analysis with AR without disrupting existing workflows.
},
}