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Walking with virtual people: Evaluation of locomotion interfaces in dynamic environments

Anne-Hélène Olivier 1, 2 Julien Bruneau 1 Richard Kulpa 1, 2 Julien Pettré 3, *
* Corresponding author
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
3 RAINBOW - Sensor-based and interactive robotics
Abstract : Navigating in virtual environments requires using some locomotion interfaces, especially when the dimensions of the environments exceed the ones of the Virtual Reality system. Locomotion interfaces induce some biases both in the perception of the self-motion or in the formation of virtual locomotion trajectories. These biases have been mostly evaluated in the context of static environments, and studies need to be revisited in the new context of populated environments where users interact with virtual characters. We focus on situations of collision avoidance between a real participant and a virtual character, and compared it to previous studies on real walkers. Our results show that, as in reality, the risk of future collision is accurately anticipated by participants, however with delay. We also show that collision avoidance trajectories formed in VR have common properties with real ones, with some quantitative differences in avoidance distances. More generally, our evaluation demonstrates that reliable results can be obtained for qualitative analysis of small scale interactions in VR. We discuss these results in the perspective of a VR platform for large scale interaction applications, such as in a crowd, for which real data are difficult to gather.
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Submitted on : Thursday, July 6, 2017 - 3:26:23 PM
Last modification on : Tuesday, October 19, 2021 - 11:04:41 AM
Long-term archiving on: : Wednesday, January 24, 2018 - 2:25:55 AM


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Anne-Hélène Olivier, Julien Bruneau, Richard Kulpa, Julien Pettré. Walking with virtual people: Evaluation of locomotion interfaces in dynamic environments. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, 24 (7), pp.2251-2263. ⟨10.1109/TVCG.2017.2714665⟩. ⟨hal-01557761⟩



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