Human factors approach to study border control automation impacts and needs: Methodology and preliminary results of field studies

Elise Le Guellec, Christine Megard, Grigore M. Havârneanu, Sonia Huguenin, Virginie Papillault, Juliette Richoux, Sirra Toivonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Passenger flows are continuously increasing in Europe and the number of border guards does not increase as quickly as it needs. The use of automatic systems such as e-gates and kiosks is envisaged to enhance security and to facilitate the border crossing. Border control activity should be thoroughly studied in order to understand in which ways it would be impacted by the introduction of more technological systems. The purpose of this study is to analyze the current border guards’ activities from a human factor point of view and to provide recommendations and requirements regarding the introduction of the future regulation and the use of automatic systems. The paper introduces the methodology used to investigate human factors at four types of borders based on a systemic human factors approach, organizational factors, technical tools and environmental aspects.

Original languageEnglish
Title of host publicationAdvances in Human Factors, Software, and Systems Engineering
Subtitle of host publicationProceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017
PublisherSpringer
Pages16-24
Number of pages9
ISBN (Electronic)978-3-319-60011-6
ISBN (Print)978-3-319-60010-9
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Applied Human Factors and Ergonomics: International Conference on Human Factors, Software, and Systems Engineering - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017
Conference number: 8

Publication series

SeriesAdvances in Intelligent Systems and Computing
Volume598
ISSN2194-5357

Conference

ConferenceInternational Conference on Applied Human Factors and Ergonomics
Abbreviated titleAHFE 2017
CountryUnited States
CityLos Angeles
Period17/07/1721/07/17

Fingerprint

Human engineering
Automation

Keywords

  • Automated border check
  • Border guards
  • Cognitive models
  • Europe
  • Man machine allocation
  • Recommendations
  • Smart Borders

Cite this

Le Guellec, E., Megard, C., Havârneanu, G. M., Huguenin, S., Papillault, V., Richoux, J., & Toivonen, S. (2018). Human factors approach to study border control automation impacts and needs: Methodology and preliminary results of field studies. In Advances in Human Factors, Software, and Systems Engineering: Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017 (pp. 16-24). Springer. Advances in Intelligent Systems and Computing, Vol.. 598 https://doi.org/10.1007/978-3-319-60011-6_2
Le Guellec, Elise ; Megard, Christine ; Havârneanu, Grigore M. ; Huguenin, Sonia ; Papillault, Virginie ; Richoux, Juliette ; Toivonen, Sirra. / Human factors approach to study border control automation impacts and needs : Methodology and preliminary results of field studies. Advances in Human Factors, Software, and Systems Engineering: Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017. Springer, 2018. pp. 16-24 (Advances in Intelligent Systems and Computing, Vol. 598).
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abstract = "Passenger flows are continuously increasing in Europe and the number of border guards does not increase as quickly as it needs. The use of automatic systems such as e-gates and kiosks is envisaged to enhance security and to facilitate the border crossing. Border control activity should be thoroughly studied in order to understand in which ways it would be impacted by the introduction of more technological systems. The purpose of this study is to analyze the current border guards’ activities from a human factor point of view and to provide recommendations and requirements regarding the introduction of the future regulation and the use of automatic systems. The paper introduces the methodology used to investigate human factors at four types of borders based on a systemic human factors approach, organizational factors, technical tools and environmental aspects.",
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Le Guellec, E, Megard, C, Havârneanu, GM, Huguenin, S, Papillault, V, Richoux, J & Toivonen, S 2018, Human factors approach to study border control automation impacts and needs: Methodology and preliminary results of field studies. in Advances in Human Factors, Software, and Systems Engineering: Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017. Springer, Advances in Intelligent Systems and Computing, vol. 598, pp. 16-24, International Conference on Applied Human Factors and Ergonomics, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60011-6_2

Human factors approach to study border control automation impacts and needs : Methodology and preliminary results of field studies. / Le Guellec, Elise; Megard, Christine; Havârneanu, Grigore M.; Huguenin, Sonia; Papillault, Virginie; Richoux, Juliette; Toivonen, Sirra.

Advances in Human Factors, Software, and Systems Engineering: Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017. Springer, 2018. p. 16-24 (Advances in Intelligent Systems and Computing, Vol. 598).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Le Guellec E, Megard C, Havârneanu GM, Huguenin S, Papillault V, Richoux J et al. Human factors approach to study border control automation impacts and needs: Methodology and preliminary results of field studies. In Advances in Human Factors, Software, and Systems Engineering: Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, 2017. Springer. 2018. p. 16-24. (Advances in Intelligent Systems and Computing, Vol. 598). https://doi.org/10.1007/978-3-319-60011-6_2