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Perceived Realism of Pedestrian Crowds Trajectories in VR

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. Green open access

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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
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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