The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration
Abstract
We present Mini-Me, an adaptive avatar for enhancing Mixed Reality (MR) remote collaboration between a local Augmented Reality (AR) user and a remote Virtual Reality (VR) user. The Mini-Me avatar represents the VR user's gaze direction and body gestures while it transforms in size and orientation to stay within the AR user's field of view. A user study was conducted to evaluate Mini-Me in two collaborative scenarios: an asymmetric remote expert in VR assisting a local worker in AR, and a symmetric collaboration in urban planning. We found that the presence of the Mini-Me significantly improved Social Presence and the overall experience of MR collaboration.
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Holoportation: Virtual 3D Teleportation in Real-time
Orts-Escolano, S., Rhemann, C., Fanello, S., Chang, W., Kowdle, A., Degtyarev, Y., Kim, D., Davidson, P. L., Khamis, S., Dou, M., et al. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology · doi:10.1145/2984511.2984517 · Cited by 662
The MagicBook: a transitional AR interface
Billinghurst, M., Kato, H., & Poupyrev, I. (2001) · Computers & Graphics · doi:10.1016/s0097-8493(01)00117-0 · Cited by 518
Self-citationComparison of three one-question, post-task usability questionnaires
Sauro, J., & Dumas, J. S. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518946 · Cited by 493
Baudisch, P., & Rosenholtz, R. E. (2003) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/642611.642695 · Cited by 396
Efficiency in work behaviour: A design approach for modern tools
Zijlstra, F. (1993) · Research Repository (Delft University of Technology) · Cited by 356
Billinghurst, M., & Kato, H. (1999) · Mixed Reality · doi:10.1007/978-3-642-87512-0_15 · Cited by 345
Self-citationInternal Consistency and Reliability of the Networked MindsMeasure of Social Presence
Harms, C., & Biocca, F. A. (2004) · Cited by 253
Room2Room: Enabling Life-Size Telepresence in a Projected Augmented Reality Environment
Pejsa, T., Kantor, J., Benko, H., Ofek, E., & Wilson, A. (2016) · Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing · doi:10.1145/2818048.2819965 · Cited by 222
Workspace awareness for groupware
Gutwin, C., & Greenberg, S. (1996) · Conference companion on Human factors in computing systems common ground - CHI '96 · doi:10.1145/257089.257284 · Cited by 207
Virtual Replicas for Remote Assistance in Virtual and Augmented Reality
Oda, O., Elvezio, C., Sukan, M., Feiner, S., & Tversky, B. (2015) · Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology · doi:10.1145/2807442.2807497 · Cited by 200
Cited by
Construction of the Virtual Embodiment Questionnaire (VEQ)
Roth, D., & Latoschik, M. E. (2020) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3023603 · Cited by 312
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
Guideband: Intuitive 3d multilevel force guidance on a wristband in virtual reality.
Tsai, H.-R., Chang, Y.-C., Wei, T.-Y., Tsao, C.-A., Koo, X. C.-Y., Wang, H.-C., & Chen, B.-Y. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445262 · Cited by 25
Metadata
- Authors
- Piumsomboon, T., Lee, G. A., Hart, J. D., Ens, B., Lindeman, R. W., Thomas, B. H., & Billinghurst, M.
- Venue
- Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2018-04-19
- Pages
- 1-13
- OpenAlex
- W2796301186
- Cited by
- 363
- References
- 28
- FWCI
- 28.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Piumsomboon, T., Lee, G. A., Hart, J. D., Ens, B., Lindeman, R. W., Thomas, B. H., & Billinghurst, M. (2018). Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3173574.3173620
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