Never Alone in the Crowd: A Microscopic Crowd Model Based on Emotional Contagion

Lhommet, Margaux; Lourdeaux, Domitile; Barthès, Jean-Paul

doi:10.1109/wi-iat.2011.149

Cited by 23 publications

(10 citation statements)

References 10 publications

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“…Next, we introduce the detailed group division method. People with friends, colleagues, and family members often show the movement similarity, which is a very common phenomenon [23][24][25] . We divide individuals into groups based on these special relationships.…”

Section: Fig 2 Schematic Diagram Of Groupmentioning

confidence: 99%

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Hybrid-driven vessel trajectory prediction based on uncertainty fusion

et al. 2022

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Section: Fig 2 Schematic Diagram Of Groupmentioning

confidence: 99%

“…In real life, happiness, sadness, and other emotions of friends or family members are more likely to cause people the same emotions. So it is much easier for individuals with special relationships to spread emotions [24] .…”

Section: Fig 2 Schematic Diagram Of Groupmentioning

confidence: 99%

Hybrid-driven vessel trajectory prediction based on uncertainty fusion

et al. 2022

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“…Gebhard [24] used the PAD emotional model and the OCEAN personality model to quantify psychological characteristics. Based on the OCC and OCEAN models in psychology, Margaux [25] established a dynamic infection model based on individual personality and interpersonal relationships to deduce the agents' microbehavior. Zhuxin Xue [26] established the personality behavior model through quantitative personality attributes.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits

Wang

2021

Sustainability

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Subway station emergencies have caused serious casualties in recent years, so the aim of this research was to develop and establish an evacuation model that considers the OCEAN personality psychological traits to improve the credibility of the emergency pedestrian evacuation simulation. Firstly, the relationship between the personality and psychological stress was established based on the reconstruction of a passenger’s personality traits. Secondly, the relationship between the expected speed and a passenger’s personality traits was modified based on the social force model. Finally, the simulation was carried out using the Anylogic software. The results show that as the value of the personality increases, the evacuation time of personalities ψA and ψC gradually increases, but the opposite effect is observed for personalities ψN and ψE. Similarly, as the value of personality traits increases, the speed of personalities ψA and ψC gradually decreases, but the opposite effect is observed for personalities ψN and ψE. Only during peak periods, as the value of personality traits increases, the density of the connecting area of passengers with personality traits ψA and ψC gradually increases; on the contrary, that of passengers with personality traits ψN and ψE gradually decreases. The conclusion of this study is that different personality traits have different effects on evacuation behavior, which enriches the model of pedestrian evacuation further.

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“…Currently, as shown in this section, there does not exists a single architecture proposing at the same time, cognition, affective dimensions and social dimension for simulation. The only attempts, to our knowledge, to combine more than two traits have used the notion of personality, to combine cognition with emotions and emotional contagion [30] or to combine cognition with emotions and social relations [35].…”

Section: Synthesismentioning

confidence: 99%

BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulation

Bourgais

Taillandier

Vercouter

2019

Lecture Notes in Computer Science

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Social Simulations are used to study complex systems featuring human actors. This means reproducing real-life situations involving people in order to explain an observed behavior. However, there are actually no agent architectures among the most popular platforms for agent-based simulation enabling to easily model human actors. This situation leads modelers to implement simple reactive behaviors while the EROS principle (Enhancing Realism Of Simulation) fosters the use of psychological and social theory to improve the credibility of such agents. This paper presents the BEN architecture (Behavior with Emotions and Norms) that uses cognitive, affective and social dimensions for the behavior of social agents. This agent architecture has been implemented in the GAMA platform so it may be used by a large audience to model agents with a high level explainable behavior. This architecture is used on an evacuation case, showing how it creates believable behaviors in a real case scenario.

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Never Alone in the Crowd: A Microscopic Crowd Model Based on Emotional Contagion

Cited by 23 publications

References 10 publications

Hybrid-driven vessel trajectory prediction based on uncertainty fusion

Hybrid-driven vessel trajectory prediction based on uncertainty fusion

A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits

BEN: An Agent Architecture for Explainable and Expressive Behavior in Social Simulation

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