A Personality-based Model of Emotional Contagion and Control in Crowd Queuing Simulations

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Modeling and Computer Simulation Pub Date : 2023-02-28 DOI:https://dl.acm.org/doi/10.1145/3577589

Junxiao Xue, Mingchuang Zhang, Hui Yin

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Abstract

Queuing is a frequent daily activity. However, long waiting lines equate to frustration and potential safety hazards. We present a novel, personality-based model of emotional contagion and control for simulating crowd queuing. Our model integrates the influence of individual personalities and interpersonal relationships. Through the interaction between the agents and the external environment parameters, the emotional contagion model based on well-known theories in psychology is used to complete the agents’ behavior planning and path planning function. We combine the epidemiological SIR model with the cellular automaton model to capture various emotional modelling for multi-agent simulations. The overall formulation involves different emotional parameters, such as patience, urgency, and friendliness, closely related to crowd queuing. In addition, to manage the order of the queue, governing agents are added to prevent the emotional outbreak. We perform qualitative and quantitative comparisons between our simulation results and real-world observations on various scenarios. Numerous experiments show that reasonably increasing the queue channel and adding governing agents can effectively improve the quality of queues.

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人群排队模拟中基于人格的情绪感染与控制模型

排队是一种常见的日常活动。然而，长时间的排队等待等同于沮丧和潜在的安全隐患。我们提出了一种新颖的、基于人格的情绪感染和控制模型，用于模拟人群排队。我们的模型综合了个人性格和人际关系的影响。通过行为人与外部环境参数的相互作用，运用基于心理学知名理论的情绪传染模型完成行为人的行为规划和路径规划功能。我们将流行病学SIR模型与元胞自动机模型相结合，以捕获用于多智能体仿真的各种情感模型。整体表述涉及不同的情绪参数，如耐心、紧急和友好，与人群排队密切相关。此外，为了管理队列的顺序，增加了控制代理，以防止情绪爆发。我们在各种场景下对模拟结果和真实世界的观察结果进行定性和定量比较。大量实验表明，合理增加队列通道和增加控制代理可以有效地提高队列质量。

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来源期刊

ACM Transactions on Modeling and Computer Simulation 工程技术-计算机：跨学科应用

CiteScore

2.50

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods. The use of simulation techniques is pervasive, extending to virtually all the sciences. TOMACS serves to enhance the understanding, improve the practice, and increase the utilization of computer simulation. Submissions should contribute to the realization of these objectives, and papers treating applications should stress their contributions vis-á-vis these objectives.