Simulating and animating social dynamics: embedding small pedestrian groups in crowds

Park, Seung In; Quek, Francis; Cao, Yong

doi:10.1002/cav.1512

Cited by 12 publications

(10 citation statements)

References 23 publications

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“…A group communicative behavior model was proposed in [Park, Quek, and Cao 2013], hereon referred to as Park et al, to add social awareness, interaction, and coordination behavioral realism among agents in a group by applying common ground theory [Clark 1996] to achieve jointly a navigation task. Her model includes both macro-coordination and micro-coordination strategies for handling sub-plans, the joint plans, and the actions for both coordination level types.…”

Section: Related Workmentioning

confidence: 99%

Immersive human-in-the-loop HMD evaluation of dynamic group behavior in a pedestrian crowd simulation that uses group agent-based steering

Rojas

Yang

2013

Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

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Figure 1: Formation capabilities of the articulated object approach: (a) U-formation. (b) The group adapted a formation to pass through a narrow alley. (c) Formation with locked hinges allows for a hand-holding couple. (d) Conversation formation. (e) Asymmetric L-formation. AbstractMost prior virtual crowds are simulated based on individualistic movement and behavior, but in recent years a few works have begun to offer approaches for human-like social group movement and plausible interactions between people in a group while moving or standing together. In our work, two novel approaches for social group movement are offered for a slot-based group agent: the basis of the first is an articulated object with hinges at the inner slots which allows for dynamic formation transitions, and the second approach which has no hinges uses interpolation to do the same. In the articulated object approach, we accommodate sub-groups of people in the group who are more strongly bonded (e.g. couple, parent and child, talkative friends) so that they can continue to socialize or hold hands so long as the surrounding environment conditions permit it. In addition, we adapted a behavioral interaction framework to work between sub-groups of people in a group. We tested our approaches in a number of testcase scenarios and found that they work as desired. Furthermore, helped by many participants one-at-a-time, each conducted an immersive human-in-the-loop HMD evaluation of the dynamic group behaviors from a first-person view. Each participant, as one of the pedestrians in the crowd, belonged to his or her own virtual group and moved around and interacted with members of his or her group for group decision making. The statistical analysis of participant responses from the questionnaire validate the realism of the dynamic group behavior.

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Section: Related Workmentioning

confidence: 99%

Immersive human-in-the-loop HMD evaluation of dynamic group behavior in a pedestrian crowd simulation that uses group agent-based steering

Rojas

Yang

2013

Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

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“…The studies of human crowds and pedestrian behaviour since three decades ago had attracted more attentions from many researchers and it is now one of the important researches field not only in engineering but also in other fields such as computer science, mathematics, physics, psychology, urban planning, architecture and humanities [1,3,7,10,13,14]. Pedestrian traffic flow simulation models were invented due to the needs of predicting the pedestrian movement behaviour in various kinds of environment in order to help decision makers to identify any hazardous situations and therefore may increase the safety level of pedestrian from accidents by implementing the evaluation and analysis of data that will be obtained during the experiments.…”

Section: Introductionmentioning

confidence: 99%

Psychological distance of pedestrian at the bus terminal area

et al. 2018

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Abstract.Walking is a part of transportation modes that is effective for pedestrian in either short or long trips. All people are classified as pedestrian because people do walk every day and the higher number of people walking will lead to crowd conditions and that is the reason of the importance to study about the behaviour of pedestrian specifically the psychological distance in both indoor and outdoor. Nowadays, the number of studies of crowd dynamics among pedestrian have increased due to the concern about the safety issues primarily related to the emergency cases such as fire, earthquake, festival and etc. An observation of pedestrian was conducted at one of the main bus terminals in Kuala Lumpur with the main objective to obtain pedestrian psychological distance and it took place for 45 minutes by using a camcorder that was set up by using a tripod on the upper floor from the area of observation at the main lobby and the trapped area was approximately 100 m 2 . The analysis was focused on obtaining the gap between pedestrian based on two different categories, which are; (a) Pedestrian with relationship, and (b) Pedestrian without relationship. In total, 1,766 data were obtained during the analysis in which 561 data were obtained for 'Pedestrian with relationship' and 1,205 data were obtained for "Pedestrian without relationship". Based on the obtained results, "Pedestrian without relationship" had shown a slightly higher average value of psychological distance between them compare to "Pedestrian with relationship" with the results of 1.6360m and 1.5909m respectively. In gender case, "Pedestrian without relationship" had higher mean of psychological distance in all three categories as well. Therefore, it can be concluded that pedestrian without relationship tend to have longer distance when walking in crowds.

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“…Each avatar will have a special course of action that matches its own interests. The members of a group may gather in a particular region because of a common purpose at some moment . These situations occur frequently in current distributed virtual environments (DVEs) .…”

Section: Introductionmentioning

confidence: 99%

Interest‐driven avatar neighbor‐organizing for P2P transmission in distributed virtual worlds

Wang

Jia

Xie

et al. 2015

Computer Animation & Virtual

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The neighbor table/distributed hash table (DHT) is used to choose the data supplier for data‐dispatching services in distributed virtual environments based on peer‐to‐peer networks. It is essential that a stable and efficient neighbor table/DHT be maintained. Because the avatar has much freedom to roam, the spatial distribution of nodes is not uniform, and the logical topology may change dramatically. Therefore, traditional construction mechanisms, such as the neighbor‐discovery mechanism based on spatial distance or DHT, may involve fierce churn in the neighbor table and frequent message exchanges. In this paper, we proposed a dynamic node‐organizing mechanism that aims to solve these challenging problems by applying the avatar's behavioral characteristics to the neighbor maintenance mechanism and scene data transmission. First, we have summarized the common social behaviors of avatars and extracted their characteristics. We then propose an interest‐similarity measuring algorithm to divide the node into diverse clusters. Next, we measure the cluster stability in terms of interest entropy while constructing a stable neighbor mesh for each node in a cluster. We have conducted extensive simulation experiments that simulate avatar behaviors in a popular massively multiplayer online game. The results show that our proposed mechanism achieved a substantial alleviation of neighbor churn and reduced information exchange, which improves the transmission efficiency in distributed virtual environments. Copyright © 2015 John Wiley & Sons, Ltd.

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Simulating and animating social dynamics: embedding small pedestrian groups in crowds

Cited by 12 publications

References 23 publications

Immersive human-in-the-loop HMD evaluation of dynamic group behavior in a pedestrian crowd simulation that uses group agent-based steering

Immersive human-in-the-loop HMD evaluation of dynamic group behavior in a pedestrian crowd simulation that uses group agent-based steering

Psychological distance of pedestrian at the bus terminal area

Interest‐driven avatar neighbor‐organizing for P2P transmission in distributed virtual worlds

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