Numan, Nels;
(2023)
[DC] Towards Understanding, Alleviating, and Exploiting the Effects of Asymmetry in Collaborative Mixed Reality.
In:
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
(pp. pp. 991-992).
IEEE: Shanghai, China.
Preview |
Text
Numan_DC2023_preprint.pdf - Accepted Version Download (642kB) | Preview |
Abstract
Mixed reality (MR) has the potential to transform the way we communicate and collaborate. However, there is a lack of knowledge about the collaborative use of different MR devices, such as collaboration between local augmented reality (AR) and remote virtual reality (VR) users. This position paper outlines research focused on deepening our understanding of the impact of asymmetry on collaboration and to use this knowledge to mitigate its negative effects and leverage its positive potential, leading to improved collaboration in MR environments. The findings of this research are expected to be valuable for the design of systems that support a diverse range of collaborative scenarios.
| Type: | Proceedings paper |
|---|---|
| Title: | [DC] Towards Understanding, Alleviating, and Exploiting the Effects of Asymmetry in Collaborative Mixed Reality |
| Event: | 2023 IEEE Conference on Virtual Reality and 3D User Interfaces |
| Location: | Shanghai, China |
| Dates: | 25 Mar 2023 - 29 Mar 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/VRW58643.2023.00338 |
| Publisher version: | https://doi.org/10.1109/VRW58643.2023.00338 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Human-centered computing; Collaborative and social computing systems and tools |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10167461 |
Archive Staff Only
 |
View Item |
