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EPIA Conference on Artificial Intelligence

EPIA 2017: Progress in Artificial Intelligence pp 28–40Cite as

An Agent-Based Model Predicting Group Emotion and Misbehaviours in Stranded Passengers

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10423))

Abstract

Airline passengers can get stranded in an airport due to a number of reasons. As a consequence, they might get frustrated. Frustration leads to misbehaving if a given individual is frustrated enough, according to the literature. In this work, an agent-based model of stranded passengers in an airport departure area is presented. Structured simulations show how personal and environmental characteristics such as age, gender and emotional contagion, among others, influence the frustration dynamics, number and type of misbehaviours in such a scenario. We also present simulation results with two implemented support models (a chatbot and multilingual staff) aiming to reduce the overall frustration level of passengers facing this type of situation. Important findings are that: men are more likely to use force than women, the crowd composition plays an important role in terms of misbehaviours, the effect of emotional contagion leads to more misbehaviours and a chatbot might be considered as an alternative for supporting stranded passengers.

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Notes

  1. 1.

    Available on: https://goo.gl/ZrVeHT. Accessed 12 April 2017.

  2. 2.

    Available on: https://goo.gl/8Me4ve. Accessed 12 April 2017.

  3. 3.

    Available on: https://ccl.northwestern.edu/netlogo/. Accessed 30 April 2017.

  4. 4.

    Available on: https://git.io/vH5ma. Accessed 14 June 2017.

  5. 5.

    Available on: https://goo.gl/HS95SI. Accessed 30 April 2017.

  6. 6.

    Available on: http://www.impact-csa.eu/. Accessed 14 June 2017.

  7. 7.

    Available on: https://goo.gl/lBUK5H. Accessed 30 April 2017.

  8. 8.

    Available on: https://goo.gl/vrEQip. Accessed 30 April 2017.

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Acknowledgements

This research was undertaken as part of the EU HORIZON 2020 Project IMPACT (GA 653383) and Science without Borders – CNPq (scholarship reference: 235134/2014-7). We would like to thank our Consortium Partners and stakeholders for their input as well as the Brazilian Government.

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Authors and Affiliations

  1. Behavioural Informatics Group, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, Netherlands

    Lenin Medeiros & C. Natalie van der Wal

Authors
  1. Lenin Medeiros
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  2. C. Natalie van der Wal
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Corresponding author

Correspondence to Lenin Medeiros .

Editor information

Editors and Affiliations

  1. Universidade do Porto, Porto, Portugal

    Eugénio Oliveira

  2. Universidade do Porto, Porto, Portugal

    João Gama

  3. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  4. Universidade do Porto, Porto, Portugal

    Henrique Lopes Cardoso

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Medeiros, L., van der Wal, C.N. (2017). An Agent-Based Model Predicting Group Emotion and Misbehaviours in Stranded Passengers. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-65340-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65339-6

  • Online ISBN: 978-3-319-65340-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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