Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)

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Unraveling Emotions in the Cockpit: BERT-Based Sentiment Analysis of Pilot Communications Before Accidents

Authors
Alvionitha Sari Agstriningtyas1, *, Mukhlis Amien2
1State Polytechnic of Malang, Malang, Indonesia
2Sekolah Tinggi Informatika dan Komputer Indonesia, Malang, Indonesia
*Corresponding author. Email: alvionitha.sari@polinema.ac.id
Corresponding Author
Alvionitha Sari Agstriningtyas
Available Online 31 March 2025.
DOI
10.2991/978-94-6463-668-0_4How to use a DOI?
Keywords
BERT; Sentiment Analysis; Cockpit Voice Recording
Abstract

This study analyzes the sentiment of final cockpit conversations before aviation accidents using the BERT (Bidirectional Encoder Representation from Transformers) method. The conversation transcripts were obtained from the Cockpit Voice Recorder (CVR) and categorized into four sentiments: Neutral, Positive, Negative Stress-Panic, and Negative Frustration. The data were labeled and processed to train the BERT model and evaluated using confusion matrix and classification report. The results indicate that negative stress-panic was the most dominant sentiment in the final conversations before the accident, with high accuracy (precision 0.96, F1-score 0.98), followed by a lower frustration sentiment score. An eval-loss value of 0.28 suggests the model is stable and not overfitting. This study provides valuable insight into the emotional state of pilots in critical situations and highlights the potential for developing cockpit stress detection systems to enhance aviation safety.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)
Series
Advances in Engineering Research
Publication Date
31 March 2025
ISBN
978-94-6463-668-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-668-0_4How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Alvionitha Sari Agstriningtyas
AU  - Mukhlis Amien
PY  - 2025
DA  - 2025/03/31
TI  - Unraveling Emotions in the Cockpit: BERT-Based Sentiment Analysis of Pilot Communications Before Accidents
BT  - Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)
PB  - Atlantis Press
SP  - 20
EP  - 27
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-668-0_4
DO  - 10.2991/978-94-6463-668-0_4
ID  - Agstriningtyas2025
ER  -