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[DC] Towards Understanding, Alleviating, and Exploiting the Effects of Asymmetry in Collaborative Mixed Reality

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. Green open access

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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.ucl.ac.uk/id/eprint/10167461
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