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

Published: 28 February 2023 Publication History

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.

References

[1]
Lisa Feldman Barrett, James Gross, Tamlin Conner Christensen, and Michael Benvenuto. 2001. Knowing what you’re feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation. Cog. Emot. 15, 6 (Nov.2001), 713–724. DOI:
[2]
Ahmet Eren Başak, Uğur Gúdükbay, and Funda Durupınar. 2018. Using real life incidents for creating realistic virtual crowds with data-driven emotion contagion. Comput. Graph. 72 (May2018), 70–81. DOI:
[3]
Nikolai Bode. 2020. Parameter calibration in crowd simulation models using approximate Bayesian computation. Collect. Dynam. 5 (Mar.2020), 340–347. DOI:
[4]
T. Bosse, R. Duell, Z. A. Memon, J. Treur, C. N. van der Wal, J. Otamendi, A. Bargiela, J. L. Montes, and L. M. D. Pedrera. 2009. A multi-agent model for mutual absorption of emotions. In Proceedings of the 23rd European Conference on Modelling and Simulation (ECMS’09). [J]: European Council on Modeling and Simulation, 212–218.
[5]
Tibor Bosse, Rob Duell, Zulfiqar A. Memon, Jan Treur, and C. Natalie van der Wal. 2015. Agent-based modeling of emotion contagion in groups. Cog. Computat. 7, 1 (2015), 111–136. DOI:
[6]
David C. Brogan and Jessica K. Hodgins. 1997. Group behaviors for systems with significant dynamics. Auton. Robots 4, 1 (1997), 137–153. DOI:
[7]
Ben Brown. 2015. Cops and chaos: A historical examination of the police role in riot control. J. Appl. Secur. Res. 10, 4 (2015), 427–465. DOI:
[8]
Carsten Burstedde, Ansgar Kirchner, Kai Klauck, Andreas Schadschneider, and Johannes Zittartz. 2001. Cellular automaton approach to pedestrian dynamics-applications. In Pedestrian and Evacuation Dynamics. Springer, 87–98.
[9]
Mengxiao Cao, Guijuan Zhang, Mengsi Wang, Dianjie Lu, and Hong Liu. 2017. A method of emotion contagion for crowd evacuation. Phys. A: Statist. Mech. Applic. 483 (2017), 250–258. DOI:
[10]
Raymond B. Cattell and Paul Ed Kline. 1977. The Scientific Analysis of Personality and Motivation.Academic Press.
[11]
Yameng Chen, Chen Wang, Heng Li, Jeffrey Boon Hui Yap, Rui Tang, and Bin Xu. 2020. Cellular automaton model for social forces interaction in building evacuation for sustainable society. Sustain. Cities Societ. 53 (Feb.2020), 101913. DOI:
[12]
Stephen Chenney. 2004. Flow tiles. In Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation. Eurographics Association, 233–242. DOI:
[13]
Stephen Connor. 2020. Omnithermal perfect simulation for multi-server queues. ACM Trans. Model. Comput. Simul. 30, 1 (Feb.2020), 1–15. DOI:
[14]
Monica Crippa, Diego Guizzardi, Enrico Pisoni, Efisio Solazzo, Antoine Guion, Marilena Muntean, Aneta Florczyk, Marcello Schiavina, Michele Melchiorri, and Andres Fuentes Hutfilter. 2021. Global anthropogenic emissions in urban areas: Patterns, trends, and challenges. Environ. Res. Lett. 16, 7 (July2021), 074033. DOI:
[15]
Patrick Dickinson, Kathrin Gerling, Kieran Hicks, John Murray, John Shearer, and Jacob Greenwood. 2018. Virtual reality crowd simulation: Effects of agent density on user experience and behaviour. Virt. Real. 23, 1 (Sep.2018), 19–32. DOI:
[16]
Funda Durupınar, Uğur Güdükbay, Aytek Aman, and Norman I. Badler. 2016. Psychological parameters for crowd simulation: From audiences to mobs. IEEE Trans. Visualiz. Comput. Graph. 22, 9 (2016), 2145–2159. DOI:
[17]
Funda Durupinar, Nuria Pelechano, Jan Allbeck, Ugur Gudukbay, and Norman I. Badler. 2011. How the ocean personality model affects the perception of crowds. IEEE Comput. Graph. Applic. 31, 3 (2011), 22–31. DOI:
[18]
H. J. Eysenck. 1973. Chapter 6–personality and the law of effect. In Proceeding of the Pleasure, Reward, Preference, Academic Press, 133–166.
[19]
Thierry Fraichard and Valentin Levesy. 2020. From crowd simulation to robot navigation in crowds. IEEE Robot. Autom. Lett. 5, 2 (Apr.2020), 729–735. DOI:
[20]
Kenneth E. Friend. 1982. Stress and performance: Effects of subjective work load and time urgency. Personn. Psychol. 35, 3 (1982), 623–633. DOI:
[21]
Libi Fu, Weiguo Song, Wei Lv, and Siuming Lo. 2014. Simulation of emotional contagion using modified SIR model: A cellular automaton approach. Phys. A: Statist. Mech. Applic. 405 (2014), 380–391. DOI:
[22]
John Funge, Xiaoyuan Tu, and Demetri Terzopoulos. 1999. Cognitive modeling: Knowledge, reasoning and planning for intelligent characters. In Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques. ACM, 29–38. DOI:
[23]
Franklin H. Giddings. 1897. The crowd. A study of the popular mind. By Gustave Le Bon. The Macmillan Co. Science 5, 123 (May1897), 734–735. DOI:
[24]
Lewis R. Goldberg. 1992. The development of markers for the Big-Five factor structure. Psychol. Assess. 4, 1 (1992), 26–42. DOI:
[25]
Linda Green. 2011. Queueing theory and modeling. In Handbook of Healthcare Delivery Systems. Taylor & Francis.
[26]
Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming Lin, Dinesh Manocha, and Pradeep Dubey. 2009. ClearPath: Highly parallel collision avoidance for multi-agent simulation. In Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation. ACM, 177–187. DOI:
[27]
Dirk Helbing, Illés Farkas, and Tamas Vicsek. 2000. Simulating dynamical features of escape panic. Nature 407, 6803 (2000), 487. DOI:
[28]
Omar Hesham and Gabriel Wainer. 2021. Explicit modeling of personal space for improved local dynamics in simulated crowds. ACM Trans. Model. Comput. Simul. 31, 4 (Oct.2021), 1–29. DOI:
[29]
Xiao Hong, Guijuan Zhang, Dianjie Lu, Hong Liu, Lei Zhu, and Mingliang Xu. 2020. Personalized crowd emotional contagion coupling the virtual and physical cyberspace. IEEE Trans. Syst. Man Cyber.: Syst. (2020), 1–15. DOI:
[30]
Ioannis Karamouzas, Roland Geraerts, and Mark Overmars. 2009. Indicative routes for path planning and crowd simulation. In Proceedings of the 4th International Conference on Foundations of Digital Games. ACM, 113–120. DOI:
[31]
William Ogilvy Kermack and Anderson G. McKendrick. 1927. A contribution to the mathematical theory of epidemics. Proc. Roy. Societ. Lond. Series A, Contain. Papers Math. Phys. Charact. 115, 772 (1927), 700–721. DOI:
[32]
Jooyoung Kim, Chiwon Ahn, and Seungjae Lee. 2018. Modeling handicapped pedestrians considering physical characteristics using cellular automaton. Phys. A: Statist. Mech. Applic. 510 (Nov.2018), 507–517. DOI:
[33]
Sujeong Kim, Stephen J. Guy, Dinesh Manocha, and Ming C. Lin. 2012. Interactive simulation of dynamic crowd behaviors using general adaptation syndrome theory. In Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. ACM, 55–62. DOI:
[34]
A. Kirchner, A. Namazi, Katsuhiro Nishinari, and A. Schadschneider. 2003. Role of conflicts in the floor field cellular automaton model for pedestrian dynamics. In Proceedings of the 2nd International Conference on Pedestrians and Evacuation Dynamics. 51–62.
[35]
Boris Kluge and Erwin Prassler. 2004. Reflective navigation: Individual behaviors and group behaviors. In Proceedings of the IEEE International Conference on Robotics and Automation. IEEE, 4172–4177. DOI:
[36]
Gustave Le Bon. 2002. The Crowd: A Study of the Popular Mind. Foreign Language Teaching and Research Press.
[37]
Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, and Mingliang Xu. 2019. ACSEE: Antagonistic crowd simulation model with emotional contagion and evolutionary game theory. IEEE Trans. Affect. Comput. (2019), 1–1. DOI:
[38]
D. Li and J. Zhong. 2020. Dimensionally aware multi-objective genetic programming for automatic crowd behavior modeling. ACM Trans. Model. Comput. Simul. 30, 3 (July2020), 1–24. DOI:
[39]
Chih-Chin Liang. 2017. Enjoyable queuing and waiting time. Time Societ. 28, 2 (May2017), 543–566. DOI:
[40]
C. K. Lim, K. L. Tan, A. A. Zaidan, and B. B. Zaidan. 2019. A proposed methodology of bringing past life in digital cultural heritage through crowd simulation: A case study in George Town, Malaysia. Multim. Tools Applic. 79, 5-6 (July2019), 3387–3423. DOI:
[41]
Avi Mandelbaum and Sergey Zeltyn. 2004. The impact of customers’ patience on delay and abandonment: Some empirically-driven experiments with the M/M/n+ G queue. OR Spectrum 26, 3 (2004), 377–411. DOI:
[42]
Rupert G. Miller. 1960. Priority queues. Ann. Math. Statist. 31, 1 (Mar.1960), 86–103. DOI:
[43]
Soraia Raupp Musse and Daniel Thalmann. 2001. Hierarchical model for real time simulation of virtual human crowds. IEEE Trans. Visualiz. Comput. Graph. 7, 2 (2001), 152–164. DOI:
[44]
Jan Ondřej, Julien Pettré, Anne-Hélène Olivier, and Stéphane Donikian. 2010. A synthetic-vision based steering approach for crowd simulation. ACM Trans. Graph. 29, 4 (2010), 1–9. DOI:
[45]
K. Ono and R. O. Suzuki. 1998. Thermoelectric power generation: Converting low-grade heat into electricity. JOM 50, 12 (1998), 49–51. DOI:
[46]
Sébastien Paris and Stéphane Donikian. 2009. Activity-driven populace: A cognitive approach to crowd simulation. IEEE Comput. Graph. Applic. 29, 4 (2009), 34–43. DOI:
[47]
Anat Rafaeli, Greg Barron, and Keren Haber. 2002. The effects of queue structure on attitudes. J. Serv. Res. 5, 2 (Nov.2002), 125–139. DOI:
[48]
Peter Sandman. 2003. Beyond panic prevention: Addressing emotion in emergency communication. Emergency Risk Communication CDCynergy (CD-ROM), Centers for Disease Control and Prevention, Atlanta.
[49]
Junkichi Satsuma, R. Willox, A. Ramani, B. Grammaticos, and A. S. Carstea. 2004. Extending the SIR epidemic model. Phys. A: Statist. Mech. Applic. 336, 3-4 (2004), 369–375. DOI:
[50]
Barry G. Silverman, Michael Johns, Jason Cornwell, and Kevin O’Brien. 2006. Human behavior models for agents in simulators and games: Part I: Enabling science with PMFserv. Pres.: Teleop. Virt. Environ. 15, 2 (2006), 139–162. DOI:
[51]
Gerard J. Smits and Irene M. Cherhoniak. 1976. Physical attractiveness and friendliness in interpersonal attraction. Psychol. Rep. 39, 1 (1976), 171–174. DOI:
[52]
Yutong Sun and Hong Liu. 2021. Crowd evacuation simulation method combining the density field and social force model. Phys. A: Statist. Mech. Applic. 566 (Mar.2021), 125652. DOI:
[53]
Adrien Treuille, Seth Cooper, and Zoran Popović. 2006. Continuum crowds. ACM Trans. Graph. 25, 3 (2006), 1160–1168. DOI:
[54]
Wouter van Toll, Fabien Grzeskowiak, Axel López Gandía, Javad Amirian, Florian Berton, Julien Bruneau, Beatriz Cabrero Daniel, Alberto Jovane, and Julien Pettré. 2020. Generalized microscropic crowd simulation using costs in velocity space. In Proceedings of the Symposium on Interactive 3D Graphics and Games. ACM. DOI:
[55]
Neal Wagner and Vikas Agrawal. 2014. An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster. Expert Syst. Applic. 41, 6 (2014), 2807–2815. DOI:
[56]
D. Wolinski, S. J. Guy, A.-H. Olivier, M. Lin, D. Manocha, and J. Pettré. 2014. Parameter estimation and comparative evaluation of crowd simulations. Comput. Graph. Forum 33, 2 (May2014), 303–312. DOI:
[57]
Mingliang Xu, Chunxu Li, Pei Lv, Nie Lin, Rui Hou, and Bing Zhou. 2018. An efficient method of crowd aggregation computation in public areas. IEEE Trans. Circ. Syst. Vid. Technol. 28, 10 (2018), 2814–2825. DOI:
[58]
Mingliang Xu, Yunpeng Wu, Yangdong Ye, Illes Farkas, Hao Jiang, and Zhigang Deng. 2015. Collective crowd formation transform with mutual information–based runtime feedback. In Computer Graphics Forum, Vol. 34. Wiley Online Library, 60–73. DOI:
[59]
Mingliang Xu, Xiaozheng Xie, Pei Lv, Jianwei Niu, Hua Wang, Chaochao Li, Ruijie Zhu, Zhigang Deng, and Bing Zhou. 2019. Crowd behavior simulation with emotional contagion in unexpected multihazard situations. IEEE Trans. Syst. Man Cyber.: Syst. (2019), 1–15. DOI:
[60]
Junxiao Xue, Hui Yin, Pei Lv, Mingliang Xu, and Yafei Li. 2019. Crowd queuing simulation with an improved emotional contagion model. Sci. China Inf. Sci. 62, 4 (2019), 44101. DOI:
[61]
Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, and Jie Hu. 2020. A review on crowd simulation and modeling. Graphic. Models 111 (Sep.2020), 101081. DOI:
[62]
Chengwei Yao and Gencai Chen. 2001. A emotion development agent model based on OCC model and operant conditioning. In Proceedings of the International Conferences on Info-Tech and Info-Net. IEEE, 246–250. DOI:
[63]
Zhenzhen Yao, Guijuan Zhang, Dianjie Lu, and Hong Liu. 2020. Learning crowd behavior from real data: A residual network method for crowd simulation. Neurocomputing 404 (Sep.2020), 173–185. DOI:
[64]
Liu Zhen, Jin Wei, and Huang Peng. 2013. An emotion contagion simulation model for crowd events. J. Comput. Res. Devel. 50, 12 (2013), 2578–2589.

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    Published In

    cover image ACM Transactions on Modeling and Computer Simulation
    ACM Transactions on Modeling and Computer Simulation  Volume 33, Issue 1-2
    April 2023
    159 pages
    ISSN:1049-3301
    EISSN:1558-1195
    DOI:10.1145/3572857
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 February 2023
    Online AM: 20 December 2022
    Accepted: 09 December 2022
    Revised: 12 November 2022
    Received: 25 October 2021
    Published in TOMACS Volume 33, Issue 1-2

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    Author Tags

    1. Crowd simulation
    2. emotional contagion
    3. queue management

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