Giunchi, D;
Bovo, R;
Charalambous, P;
Liarokapis, F;
Shipman, A;
James, S;
Steed, A;
(2021)
Perceived Realism of Pedestrian Crowds Trajectories in VR.
In:
VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology.
ACM: New York, NY, USA.
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Abstract
Crowd simulation algorithms play an essential role in populating Virtual Reality (VR) environments with multiple autonomous humanoid agents. The generation of plausible trajectories can be a significant computational cost for real-time graphics engines, especially in untethered and mobile devices such as portable VR devices. Previous research explores the plausibility and realism of crowd simulations on desktop computers but fails to account the impact it has on immersion. This study explores how the realism of crowd trajectories affects the perceived immersion in VR. We do so by running a psychophysical experiment in which participants rate the realism of real/synthetic trajectories data, showing similar level of perceived realism.
Type: | Proceedings paper |
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Title: | Perceived Realism of Pedestrian Crowds Trajectories in VR |
Event: | VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3489849.3489860 |
Publisher version: | https://doi.org/10.1145/3489849.3489860 |
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: | Crowd simulation, perception, virtual reality |
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/10140585 |
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