Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology 2015
DOI: 10.1145/2821592.2821597
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Adding sociality to virtual pedestrian groups

Abstract: We present a new method, Social Groups and Navigation (SGN), to simulate the walking behavior of small pedestrian groups in virtual environments. SGN is the first method to simulate group behavior on both global and local levels. We define quantitative metrics to measure the coherence and the sociality of a group based on existing empirical data of real crowds. SGN is designed to let groups stay in coherent and social formations without explicitly modeling such formations. For groups of four, SGN generates bet… Show more

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Cited by 13 publications
(8 citation statements)
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“…walking behavior (Jaklin et al, 2015) and Ruiz & Hernández's GPU-based implementation of the model (Ruiz & Hernández, 2019).…”
Section: Discussionmentioning
confidence: 99%
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“…walking behavior (Jaklin et al, 2015) and Ruiz & Hernández's GPU-based implementation of the model (Ruiz & Hernández, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…The environment was monitored in a simple way where each agent could observe free space rather than observing other agents. In contrast to BioCrowds, in 2015 Jaklin et al presented a method for the simulation of the walking behavior of small pedestrian groups (Jaklin et al, 2015), called Social Groups and Navigation. They defined the group coherence and sociality of a crowd by using a vision-based collision avoidance method (Moussaid et al, 2011) with some modifications and a SFM (Moussaïd et al, 2010).…”
Section: Group Dynamicsmentioning
confidence: 99%
“…Furthermore, SGN lets a group re-organize itself when coherence is lost during the simulation. In addition to our previous version 3) [7], SGN handles sub-groups for improved social behavior among group members that have to split up to re-establish their coherence. SGN handles both global and local aspects of the path planning pipeline to ensure coherent and socially-friendly group navigation.…”
Section: Discussionmentioning
confidence: 99%
“…The idea behind sub-groups during coordination mode is to let agents that are close to each other walk together until they reach the leader. In a previous version 2) of our method [7], we let agents walk individually during coordination mode, which yielded less convincing results. We believe that walking in sub-groups reflects real-world behavior more accurately.…”
Section: Sub-groupsmentioning
confidence: 99%
“…We may also consider the empirical investigation of [23], which suggests an ellipse of minimum area shapes groups. [24] suggest a distinction between in-group cohesion and in-group sociality. Considering cohesion independently allows us to introduce agents' personal (identity) and social (identity) space requirements, e.g.…”
mentioning
confidence: 98%