Zhang, J;
Steed, A;
(2024)
Improved Takeover System: Enabling Single Actor Control for Multi-Avatar Populated Virtual Realities.
In:
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) 2024.
(pp. pp. 612-613).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
Social virtual reality (SVR) has become more accessible to the general public. Just as in real life, users expect the possibility of engaging with many others within SVR. Creating open-ended, densely populated environments with highly interactive virtual humans remains challenging. Despite the advances in artificial intelligence and language understanding, we still see the need for human intervention to control unanticipated scenarios or answer questions. Previous work has allowed a single actor to take over control of multiple virtual humans when interaction with the user was needed. However, those works focused only on non-verbal interaction. This paper proposes a system that supports full-body avatars with six-point tracking and a simpler take-over procedure. We demonstrate a scenario that enables both verbal and non-verbal interactions.
Type: | Proceedings paper |
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Title: | Improved Takeover System: Enabling Single Actor Control for Multi-Avatar Populated Virtual Realities |
Event: | 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) |
Location: | Bellevue, WA, USA |
Dates: | 21th-25th October 2024 |
ISBN-13: | 979-8-3315-0691-9 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ISMAR-Adjunct64951.2024.00175 |
Publisher version: | https://doi.org/10.1109/ismar-adjunct64951.2024.00... |
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. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10204737 |
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