Skip to main content
Springer Nature Link
Log in

Application of Generative AI for Aviation Safety Report Analysis from the Resilience Engineering Perspective

  • Conference paper
  • First Online:
Engineering Psychology and Cognitive Ergonomics (HCII 2025)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 15777))

Included in the following conference series:

  • 269 Accesses

Abstract

In recent years, socio-technical systems, including aviation, require “resilience,” the ability of people to maintain or improve their functioning by responding and adjusting flexibly to changing circumstances. To enhance resilience, focusing on daily successes (normal operations) and learning from them is necessary. However, it is not easy to learn from normal operations to understand the factors that led to why they succeeded.

Therefore, attempts have been made to analyze resilience by regarding near-miss events as “successful cases in which accidents were avoided due to flexible human actions.” Since analyzing the large volume of near-miss events collected daily requires significant time and cost, attention has been drawn to the utilization of natural language processing.

In this study, we used near-miss event data from the Aviation Safety Reporting System to extract actions that demonstrated resilience. Furthermore, we attempted an analysis using GPT, a natural language processing technique, evaluated the validity of the responses obtained, and explored methods to enhance their validity.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+
from €39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 53.49
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 70.61
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

') var buybox = document.querySelector("[data-id=id_"+ timestamp +"]").parentNode var buyingOptions = buybox.querySelectorAll(".buying-option") ;[].slice.call(buyingOptions).forEach(initCollapsibles) var buyboxMaxSingleColumnWidth = 480 function initCollapsibles(subscription, index) { var toggle = subscription.querySelector(".buying-option-price") subscription.classList.remove("expanded") var form = subscription.querySelector(".buying-option-form") var priceInfo = subscription.querySelector(".price-info") var buyingOption = toggle.parentElement if (toggle && form && priceInfo) { toggle.setAttribute("role", "button") toggle.setAttribute("tabindex", "0") toggle.addEventListener("click", function (event) { var expandedBuyingOptions = buybox.querySelectorAll(".buying-option.expanded") var buyboxWidth = buybox.offsetWidth ;[].slice.call(expandedBuyingOptions).forEach(function(option) { if (buyboxWidth buyboxMaxSingleColumnWidth) { toggle.click() } else { if (index === 0) { toggle.click() } else { toggle.setAttribute("aria-expanded", "false") form.hidden = "hidden" priceInfo.hidden = "hidden" } } }) } initialStateOpen() if (window.buyboxInitialised) return window.buyboxInitialised = true initKeyControls() })()

Institutional subscriptions

Similar content being viewed by others

References

  1. Hollnagel, E.: Safety-I and Safety-II: The Past and Future of Safety Management, 1st edn. Ashgate, Farnham (2014)

    Google Scholar 

  2. Hollnagel, E., Paries, J., Woods, D.D., Wreathall, J.: Resilience Engineering in Practice: A Guidebook, 1st edn. Ashgate, Farnham (2011)

    Google Scholar 

  3. Holbrook, J., Prinzel III, L.J., Stewart, M.J., Kiggins, D.: How do pilots and controllers manage routine contingencies during RNAV arrivals? In: Arezes, P., Boring, R. (eds.) International Conference on Applied Human Factors and Ergonomics 2020, AISC, vol. 1204, pp. 331–338. Springer, Cham (2020)

    Google Scholar 

  4. Wachs, P., Saurin, T.A., Righi, A.W., Wears, R.L.: Resilience skills as emergent phenomena: a study of emergency departments in Brazil and the United States. Appl. Ergon. 56, 227–237 (2016)

    Article  Google Scholar 

  5. Hasegawa, T.: Practice of resilience engineering at the sharp end. Jpn. J. Qual. Saf. Healthc. 11(4), 427–436 (2016)

    Google Scholar 

  6. Dong, T., Yang, Q., Ebadi, N., Luo, X.R., Rad, P.: Identifying incident causal factors to improve aviation transportation safety: proposing a deep learning approach. J. Adv. Transp. 2021(1), 5540046 (2021)

    Google Scholar 

  7. Rose, R.L., Puranik, T.G., Mavris, D.N.: Natural language processing-based method for clustering and analysis of aviation safety narratives. Aerospace. 7(10), 143 (2020)

    Article  Google Scholar 

  8. Ono, M., Nakanishi, M.: Analysis of human factors and resilience competences in ASRS data using natural language processing. In: Duffy, V.G. (ed.) International Conference on Human-Computer Interaction 2023, LNCS, vol. 14029, pp. 548–561. Springer, Cham (2023)

    Google Scholar 

  9. Ziakkas, D., Pechlivanis, K.: Artificial intelligence applications in aviation accident classification: a preliminary exploratory study. Decis. Anal. J. 9, 100358 (2023)

    Article  Google Scholar 

  10. Nakamura, M., Hayamizu, S., Masanori, H., Fuseya, T., Iwamatsu, H., Terada, K.: Causal reasoning of occupational incident texts using large language models. Procedia Comput. Sci. 246, 820–829 (2020)

    Article  Google Scholar 

  11. ASRS Homepage. https://asrs.arc.nasa.gov/. Accessed 30 Jan 2025

  12. Open AI Prompt Engineering. https://platform.openai.com/docs/guides/prompt-engineering#tactic-include-details-in-your-query-to-get-more-relevant-answers. Accessed 30 Jan 2025

Download references

Author information

Authors and Affiliations

  1. Keio University, Yokohama, Kanagawa, 223-8522, Japan

    Mako Ono & Miwa Nakanishi

Authors
  1. Mako Ono
    View author publications

    Search author on:PubMed Google Scholar

  2. Miwa Nakanishi
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Mako Ono .

Editor information

Editors and Affiliations

  1. Coventry University, Coventry, UK

    Don Harris

  2. Cranfield University, Cranfield, UK

    Wen-Chin Li

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ono, M., Nakanishi, M. (2025). Application of Generative AI for Aviation Safety Report Analysis from the Resilience Engineering Perspective. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2025. Lecture Notes in Computer Science(), vol 15777. Springer, Cham. https://doi.org/10.1007/978-3-031-93721-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-93721-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-93720-0

  • Online ISBN: 978-3-031-93721-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics