Abstract
In a one-to-many mixed reality collaboration environment, where multiple local users wearing AR headsets are supervised by a remote expert wearing a VR HMD, we evaluated three view-sharing techniques: 2D video, 360 video, and 3D model augmented with 2D video. Through a pilot test, the weaknesses of the techniques were identified, and additional features were integrated into them. Then, their performances were compared in two different collaboration scenarios based on search and assembling. In the first scenario, a local user performed both search and assembling. In the second scenario, two local users had dedicated roles, one for search and the other for assembling. The experiment results showed that the 3D model augmented with 2D video was time-efficient, usable, less demanding and most preferred in one-to-many mixed reality collaborations.
| Original language | English |
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| Title of host publication | Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 343-352 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781728156088 |
| DOIs | |
| Publication status | Published - Mar 2020 |
| Event | 27th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 - Atlanta, United States Duration: 22 Mar 2020 → 26 Mar 2020 |
Publication series
| Name | Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 |
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Conference
| Conference | 27th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2020 |
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| Country/Territory | United States |
| City | Atlanta |
| Period | 22/03/20 → 26/03/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Collaborative and social computing
- Collaborative and social computing theory
- Computer supported cooperative work
- Human computer interaction (HCI)
- Human-centered computing
- Interaction paradigms
- Mixed / augmented reality
- concepts and paradigms