A Virtual Reality Platform to Study Crowd Behaviors

Olivier, Anne-Hélène; Bruneau, Julien; Cirio, Gabriel; Pettré, Julien

doi:10.1016/j.trpro.2014.09.015

Cited by 43 publications

(26 citation statements)

References 48 publications

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“…The remaining four happened outside the social zone (> 3.6m). 6 Flying metaphors can also generate realistic virtual locomotion trajectories [28]. 7 Subjects, e.g., walked around a group (AVD) to join from the other side (JN ).…”

Section: Resultsmentioning

confidence: 99%

Inferring a User's Intent on Joining or Passing by Social Groups

Bönsch

Bluhm

Ehret

et al. 2020

Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents

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Section: Resultsmentioning

confidence: 99%

Inferring a User's Intent on Joining or Passing by Social Groups

Bönsch

Bluhm

Ehret

et al. 2020

Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents

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show abstract

“…Such setups can be used, for example, to evaluate human decision making during emergencies based on the behavior of the crowd (Ríos and Pelechano, 2020). Or to explore cognitive models of locomotion in crowded spaces (Thalmann, 2007;Luo et al, 2008;Olivier et al, 2014). Or for one-to-one interactions with avatars inside VR while performing locomotion (Pelechano et al, 2011;Ríos et al, 2018).…”

Section: Avatars In Simulationmentioning

confidence: 99%

The Rocketbox Library and the Utility of Freely Available Rigged Avatars

González-Franco

Ofek

Pan

et al. 2020

Front. Virtual Real.

125

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“…Among other human-crowd interaction studies, a virtual reality framework examining the human-virtual-crowd interaction and ways to improve the level of realism of simulation algorithms was developed by Olivier et al [58]. Dickinson et al [59] studied the effects of crowd density across three experimental conditions on the affective states and behaviors of participants.…”

Section: Related Workmentioning

confidence: 99%

Evaluating Human Movement Coordination During Immersive Walking in a Virtual Crowd

Koilias

Nelson

Gubbi

et al. 2020

Behavioral Sciences

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This paper describes our investigation on how participants coordinate movement behavior in relation to a virtual crowd that surrounds them while immersed in a virtual environment. The participants were immersed in a virtual metropolitan city and were instructed to cross the road and reach the opposite sidewalk. The participants performed the task ten times. The virtual crowd that surrounded them was scripted to move in the same direction. During the experiment, several measurements were obtained to evaluate human movement coordination. Moreover, the time and direction in which the participants started moving toward the opposite sidewalk were also captured. These data were later used to initialize the parameters of simulated characters that were scripted to become part of the virtual crowd. Measurements were extracted from the simulated characters and used as a baseline to evaluate the movement coordination of the participants. By analyzing the data, significant differences between the movement behaviors of the participants and the simulated characters were found. However, simple linear regression analyses indicated that the movement behavior of participants was moderately associated with the simulated characters’ movements when performing a locomotive task within a virtual crowd population. This study can be considered as a baseline for further research that evaluates the movement coordination of participants during human–virtual-crowd interactions using measurements obtained by the simulated characters.

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A Virtual Reality Platform to Study Crowd Behaviors

Abstract: International audienc

Cited by 43 publications

References 48 publications

Inferring a User's Intent on Joining or Passing by Social Groups

Inferring a User's Intent on Joining or Passing by Social Groups

The Rocketbox Library and the Utility of Freely Available Rigged Avatars

Evaluating Human Movement Coordination During Immersive Walking in a Virtual Crowd

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