The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Virtual Replicas for Remote Assistance in Virtual and Augmented Reality
Open accessAbstract
In many complex tasks, a remote subject-matter expert may need to assist a local user to guide actions on objects in the local user's environment. However, effective spatial referencing and action demonstration in a remote physical environment can be challenging. We introduce two approaches that use Virtual Reality (VR) or Augmented Reality (AR) for the remote expert, and AR for the local user, each wearing a stereo head-worn display. Both approaches allow the expert to create and manipulate virtual replicas of physical objects in the local environment to refer to parts of those physical objects and to indicate actions on them. This can be especially useful for parts that are occluded or difficult to access. In one approach, the expert points in 3D to portions of virtual replicas to annotate them. In another approach, the expert demonstrates actions in 3D by manipulating virtual replicas, supported by constraints and annotations. We performed a user study of a 6DOF alignment task, a key operation in many physical task domains, comparing both approaches to an approach in which the expert uses a 2D tablet-based drawing system similar to ones developed for prior work on remote assistance. The study showed the 3D demonstration approach to be faster than the others. In addition, the 3D pointing approach was faster than the 2D tablet in the case of a highly trained expert.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433
Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization
Vandenberg, S. G., & Kuse, A. R. (1978) · Perceptual and Motor Skills · doi:10.2466/pms.1978.47.2.599 · Cited by 2,620
Cited by
Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration
Piumsomboon, T., Lee, G. A., Hart, J. D., Ens, B., Lindeman, R. W., Thomas, B. H., & Billinghurst, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173620 · Cited by 363
VRGit: A Version Control System for Collaborative Content Creation in Virtual Reality
Zhang, L., Agrawal, A., Oney, S., & Guo, A. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581136 · Cited by 36
An MR Remote Collaborative Platform Based on 3D CAD Models for Training in Industry
Wang, P., Bai, X., Billinghurst, M., Zhang, S., Han, D., Lv, H., He, W., Yan, Y., Zhang, X., & Min, H. (2019) · 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct.2019.00038 · Cited by 31
Metadata
- Authors
- Oda, O., Elvezio, C., Sukan, M., Feiner, S., & Tversky, B.
- Venue
- Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology
- Publisher
- ACM
- Published
- 2015-11-05
- Pages
- 405-415
- OpenAlex
- W2235715729
- Cited by
- 200
- References
- 2
- FWCI
- 24.83
- Type
- conference paper
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Virtual Replicas for Remote Assistance in Virtual and Augmented Reality. https://app.cochat.ai/papers/10.1145/2807442.2807497
- The paper
- Oda, O., Elvezio, C., Sukan, M., Feiner, S., & Tversky, B. (2015). Virtual Replicas for Remote Assistance in Virtual and Augmented Reality. Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. https://doi.org/10.1145/2807442.2807497
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.