Contributors:
Neel Shah, Matthew Chan, Mariana Shimabukuro, Christopher Collins
Abstract
We present AnchoR, a mobile augmented reality (AR) system for asynchronous, guided interaction with 3D visualizations on everyday tablets. AnchoR integrates spatial bookmarking, embedded annotations, occlusion management, and embodied view-history tracking across three modes: scatterplots, t-SNE embeddings and 3D models. Users can export bookmarks and histories as shareable JSON or annotated reports, enabling collaborative analysis without co-location or real-time coordination. Early expert feedback highlights AnchoR’s potential to improve recall, communication, and navigation in mobile immersive analytics, while revealing design opportunities for refining handheld AR spatial interactions.
Demo
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Publications
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Neel Shah, Matthew Chan, Mariana Shimabukuro, & Christopher Collins (2025). AnchoR: Toward Asynchronous Collaboration and Guided Exploration for Mobile AR Visualizations. In Proceedings of the ACM Spatial User Interfaces (SUI ’25) (pp. 3). ACM.
@inproceedings{shah2025anchor,
author = {Neel Shah and Matthew Chan and Mariana Shimabukuro and Christopher Collins},
title = {AnchoR: Toward Asynchronous Collaboration and Guided Exploration for Mobile AR Visualizations},
booktitle = {Proceedings of the ACM Spatial User Interfaces (SUI ’25)},
year = {2025},
publisher = {ACM},
address = {New York, NY, USA},
pages = {3},
doi = {https://doi.org/XXXXXXX}
}