Duplicated Reality for Co-located Augmented Reality Collaboration

Yu K, Eck U, Pankratz F, Lazarovici M, Wilhelm D, Navab N (2022)

Publication Type: Journal article

Publication year: 2022


Book Volume: 28

Pages Range: 2190-2200

Journal Issue: 5

DOI: 10.1109/TVCG.2022.3150520


When two or more users attempt to collaborate in the same space with Augmented Reality, they often encounter conflicting intentions regarding the occupation of the same working area and self-positioning around such without mutual interference. Augmented Reality is a powerful tool for communicating ideas and intentions during a co-Assisting task that requires multi-disciplinary expertise. To relax the constraint of physical co-location, we propose the concept of Duplicated Reality, where a digital copy of a 3D region of interest of the users' environment is reconstructed in real-Time and visualized in-situ through an Augmented Reality user interface. This enables users to remotely annotate the region of interest while being co-located with others in Augmented Reality. We perform a user study to gain an in-depth understanding of the proposed method compared to an in-situ augmentation, including collaboration, effort, awareness, usability, and the quality of the task. The result indicates almost identical objective and subjective results, except a decrease in the consulting user's awareness of co-located users when using our method. The added benefit from duplicating the working area into a designated consulting area opens up new interaction paradigms to be further investigated for future co-located Augmented Reality collaboration systems.

Involved external institutions

How to cite


Yu, K., Eck, U., Pankratz, F., Lazarovici, M., Wilhelm, D., & Navab, N. (2022). Duplicated Reality for Co-located Augmented Reality Collaboration. IEEE Transactions on Visualization and Computer Graphics, 28(5), 2190-2200. https://doi.org/10.1109/TVCG.2022.3150520


Yu, Kevin, et al. "Duplicated Reality for Co-located Augmented Reality Collaboration." IEEE Transactions on Visualization and Computer Graphics 28.5 (2022): 2190-2200.

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