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Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2022

Crowd Navigation in VR: exploring haptic rendering of collisions

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Abstract

Virtual reality (VR) is a valuable experimental tool for studying human movement, including the analysis of interactions during locomotion tasks for developing crowd simulation algorithms. However, these studies are generally limited to distant interactions in crowds, due to the difficulty of rendering realistic sensations of collisions in VR. In this work, we explore the use of wearable haptics to render contacts during virtual crowd navigation. We focus on the behavioural changes occurring with or without haptic rendering during a navigation task in a dense crowd, as well as on potential after-effects introduced by the use haptic rendering. Our objective is to provide recommendations for designing VR setup to study crowd navigation behaviour. To this end, we designed an experiment (N=23) where participants navigated in a crowded virtual train station without, then with, and then again without haptic feedback of their collisions with virtual characters. Results show that providing haptic feedback improved the overall realism of the interaction, as participants more actively avoided collisions. We also noticed a significant after-effect in the users' behaviour when haptic rendering was once again disabled in the third part of the experiment. Nonetheless, haptic feedback did not have any significant impact on the users' sense of presence and embodiment.
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Dates and versions

hal-03038344 , version 1 (03-12-2020)

Identifiers

Cite

Florian Berton, Fabien Grzeskowiak, Alexandre Bonneau, Alberto Jovane, Marco Aggravi, et al.. Crowd Navigation in VR: exploring haptic rendering of collisions. IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (7), pp.2589 - 2601. ⟨10.1109/TVCG.2020.3041341⟩. ⟨hal-03038344⟩
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