research-article

Experiments with Emotion Contagion in Emergency Evacuation Simulation

Authors:

Marina Ntika,

Ilias Sakellariou,

Petros Kefalas,

Ioanna StamatopoulouAuthors Info & Claims

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

Article No.: 49, Pages 1 - 11

https://doi.org/10.1145/2611040.2611097

Published: 02 June 2014 Publication History

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Abstract

Multi-agent systems simulation is used to predict human behaviour in emergency evacuation cases. However, as human behaviour can change under the effect of emotions, it is essential to create models of artificial agents and simulations that mimic such behaviour in order to make prediction of the overall system performance. In emotional agents, the role of emotional contagion is important. Emotional contagion is a result of interaction between agents which could affect each others emotions. It is the case that in emergency situations, emotions (especially calmness, fear and panic) may propagate in various ways, depending on the agents personality type as well as other factors. In this paper, we review various methods of emotional contagion. In order to develop emotional agent simulation, we start from a formal state-based modelling method and devise a number of variations of known emotional contagion methods. NetLogo visual simulation is used, in which a number of experiments is conducted. The results are useful to demonstrate different behaviour of different emotional contagion models in the evacuation of an open square area.

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Cited By

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Shi WLiu DYang JZhang JWen SSu J(2020)Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on TwitterInternational Journal of Environmental Research and Public Health10.3390/ijerph1722870117:22(8701)Online publication date: 23-Nov-2020
https://doi.org/10.3390/ijerph17228701
Zhang GLu DLiu H(2020)Strategies to Utilize the Positive Emotional Contagion Optimally in Crowd EvacuationIEEE Transactions on Affective Computing10.1109/TAFFC.2018.283646211:4(708-721)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TAFFC.2018.2836462
Liu TLiu ZChai YWang JLin XHuang P(2019)Simulating evacuation crowd with emotion and personalityArtificial Life and Robotics10.1007/s10015-018-0459-524:1(59-67)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10015-018-0459-5
Show More Cited By

Index Terms

Experiments with Emotion Contagion in Emergency Evacuation Simulation
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
  2. Modeling and simulation
    1. Model development and analysis

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Published In

WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

June 2014

506 pages

ISBN:9781450325387

DOI:10.1145/2611040

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Aristotle University of Thessaloniki

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Association for Computing Machinery

New York, NY, United States

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Published: 02 June 2014

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WIMS '14

WIMS '14: 4th International Conference on Web Intelligence, Mining and Semantics

June 2 - 4, 2014

Thessaloniki, Greece

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

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Shi WLiu DYang JZhang JWen SSu J(2020)Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on TwitterInternational Journal of Environmental Research and Public Health10.3390/ijerph1722870117:22(8701)Online publication date: 23-Nov-2020
https://doi.org/10.3390/ijerph17228701
Zhang GLu DLiu H(2020)Strategies to Utilize the Positive Emotional Contagion Optimally in Crowd EvacuationIEEE Transactions on Affective Computing10.1109/TAFFC.2018.283646211:4(708-721)Online publication date: 1-Oct-2020
https://doi.org/10.1109/TAFFC.2018.2836462
Liu TLiu ZChai YWang JLin XHuang P(2019)Simulating evacuation crowd with emotion and personalityArtificial Life and Robotics10.1007/s10015-018-0459-524:1(59-67)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s10015-018-0459-5
Kefalas PSakellariou IZdravkova KEleftherakis GKefalas P(2017)The Invalidity of Validating Emotional Multi-Agent Systems SimulationsProceedings of the 8th Balkan Conference in Informatics10.1145/3136273.3136290(1-8)Online publication date: 20-Sep-2017
https://dl.acm.org/doi/10.1145/3136273.3136290
Kefalas PSakellariou ISavvidou SStamatopoulou INtika M(2016)The Role of Mood on Emotional Agents BehaviourComputational Collective Intelligence10.1007/978-3-319-45243-2_5(53-63)Online publication date: 20-Sep-2016
https://doi.org/10.1007/978-3-319-45243-2_5
Sakellariou IKefalas PSavvidou SStamatopoulou INtika M(2016)The Role of Emotions, Mood, Personality and Contagion in Multi-agent System Decision MakingArtificial Intelligence Applications and Innovations10.1007/978-3-319-44944-9_31(359-370)Online publication date: 2-Sep-2016
https://doi.org/10.1007/978-3-319-44944-9_31
Li LLiu HHan YZhang GLu D(2012)Applications of Crowd Dynamic Models: Feature Analysis and Process OptimizationCrowd Dynamics, Volume 310.1007/978-3-030-91646-6_4(73-96)Online publication date: 24-Feb-2012
https://doi.org/10.1007/978-3-030-91646-6_4

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