Virtual vs. Physical Navigation in VR: Study of Gaze and Body Segments Temporal Reorientation Behaviour

Brument, Hugo; Podkosova, Lana; Kaufmann, Hannes; Olivier, Anne Hélène; Argelaguet, Ferran

doi:10.1109/vr.2019.8797721

Cited by 14 publications

(5 citation statements)

References 44 publications

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“…Then, HMD characteristics, such as weight on the head and visual field limitation, forced the user to increase cervical movement amplitudes for visual exploration. It had for consequence to anticipate more the change of direction in IVR than in real with an adaptation of the head motion [ 38 ] and to amplify muscular and joints constraints. Visual field limitation may have forced users to secure changes in orientation during Turn-Around and Sit-Down phases and therefore reduced anticipation.…”

Section: Discussionmentioning

confidence: 99%

Effects of using immersive virtual reality on time and steps during a locomotor task in young adults

Renaux

Muhla²,

Clanché³

et al. 2022

PLoS ONE

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Immersive virtual reality makes possible to perceive and interact in a standardized, reproductible and digital environment, with a wide range of simulated situations possibilities. This study aimed to measure the potential effect of virtual reality on time and number of steps when performing a locomotor task, in a young adult’s population. Sixty young adults (32W, 28M, mean age 21.55 ± 1.32), who had their first immersive virtual reality experience, performed a locomotor task based on "Timed Up and Go" (TUG) task in real, in virtual reality in a stopped train and in virtual reality in a moving train. Time and number of steps variables representing primary locomotion indicators were measured and compared between each condition. Results showed significant increases in time and number of steps in the two virtual reality conditions compared to real but not between the two virtual reality conditions. There was an effect of virtual reality in young adults when performing the locomotor task. It means that technological and digital characteristics of the immersive virtual reality experience led to modify motor strategies employed. Adding a plausible visual optic flow did not appear to affect motor control further when the information is negligible and not essential for performing the task.

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Section: Discussionmentioning

confidence: 99%

Effects of using immersive virtual reality on time and steps during a locomotor task in young adults

Renaux

Muhla²,

Clanché³

et al. 2022

PLoS ONE

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“…Indeed, vision is fundamental in the control of locomotion and it was shown that gaze is directed towards the elements of the environment which maximize the level of information to navigate safely [34]. In a steering task, previous works demonstrated that gaze anticipates the change of direction of walking to collect information about the future direction of motion [5], and this is also true in VR [7]. The following section will present first the definitions and methods in relation to the measure of gaze activity and then the studies investigating gaze behaviour of a walker interacting with their environment.…”

Section: Multiple Interactionsmentioning

confidence: 98%

Eye-Gaze Activity in Crowds: Impact of Virtual Reality and Density

Berton¹,

Hoyet²,

Olivier³

et al. 2020

2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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Figure 1: Our objective is to analyze eye-gaze activity within a crowd to better understand walkers' interaction neighborhood and simulate crowd behaviour. We designed 2 experiments where participants physically walked both in a real and virtual street populated with other walkers, while we measured their eye-gaze activity (red circle). We evaluated the effect of virtual reality on eye-gaze activity by comparing real and virtual conditions (left and middle-right) and investigated the effect of crowd density (right).

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“…The use of eye data in these approaches assumes that the gaze position directly precedes the direction of human walking. Indeed, there is evidence supporting this notion [7,22,31,51]. However, since eye movements during walking also depend on task demands [50] a more complex processing procedure of gaze data could allow an even better prediction.…”

Section: Locomotor Predictionmentioning

confidence: 99%