LLMs in the Generation of Seismic Alert Communiqués
DOI:
https://doi.org/10.48161/qaj.v5n2a1400Keywords:
LLMs, ChatGPT, earthquake, alert, disasters, Peru.Abstract
Peru is in the Ring of Fire, a zone of high seismic activity. Currently, alerts generated by technical-scientific entities are often bland and lack precise geographic context, resulting in alerts of limited usefulness for informing the public. In this paper, we present a conceptual model and architecture to explore the potential of Large Language Models (LLMs) to produce various forms of seismic warnings tailored to the particularities that would be required for different geographic areas of a given locality in Peru. The proposal was evaluated in a controlled environment with the participation of 47 users with diverse ethnographic characteristics. The context of the study was explained to them, and they were provided with a questionnaire designed to assess the ease of understanding, usefulness and quality of the content of the alert communications generated by an LLM. The results show that, according to the indicators assessed, seismic warnings generated by an LLM are 76% easy to understand, 81% useful and 71% acceptable quality.
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Ayoub, D., Metawie, M., & Fakhry, M. (2024). AI-ChatGPT Usage Among Users: Factors Affecting Intentions to Use and the Moderating Effect of Privacy Concerns. *MSA-Management Sciences Journal, 3*(2), 120–152.
Baskar, M., Kumar, A., & Bajaj, K. (1977). Instant Ambulance Connection Rescue Radar. ACM International Conference Proceeding Series, 2023.
Cahyana, D., Hadiarto, A., Irawan, Hati, D. P., Pratamaningsih, M. M., Karolinoerita, V., Mulyani, A., Sukarman, Hikmat, M., Ramadhani, F., Gani, R. A., Yatno, E., Heryanto, R. B., Suratman, Gofar, N., & Suriadikusumah, A. (2024). Application of ChatGPT in soil science research and the perceptions of soil scientists in Indonesia. Artificial Intelligence in Geosciences, 5, 100078.
Caicedo-Rolón, A. J., Bravo-Bastidas, J. J., & Rivera-Cadavid, L. (2022). Hospital selection and patient transport model in the emergency medical system. IISE Transactions on Healthcare Systems Engineering, 12(3), 232–244.
Campus, P., & Das, S. (2000). Comparison of the rupture and radiation characteristics of intermediate and deep earthquakes. Journal of Geophysical Research: Solid Earth, 105(B3), 6177–6189.
Castro, M. M. N., Cuadra, J. L. G., Maruno, H. B., Quitor, C. J. D., & Zhuo, E. R. (2023). DORA 4.0: Disaster Online Reporting Application v4. ACM International Conference Proceeding Series, 40–48.
Çelebi, İ., Tuna, A., & Çalişkan, C. (2024). Evaluation of Incoming Messages to WhatsApp Communication Network Created by Volunteers in Major Disasters: The Case of Turkey Earthquake. Disaster Medicine and Public Health Preparedness, 18, e53.
Cerf, V. G. (2023). Large Language Models. Communications of the ACM, 66(8), 7.
Chávez, M. F. E. A., Pichón, M. F. M. A., Pérez, D. Y. B. F., Flores, M. R. H. N., & Saucedo, M. L. H. C. (2023). Interculturality In Peru And The Process Of Forming An Intercultural Society. Journal of Namibian Studies: History Politics Culture, 33, 5327–5336.
Ciufudean, C., & Buzduga, C. (n.d.). Adaptable System for Protecting Inhabitants. 2024 International Conference on Emerging Smart Computing and Informatics, ESCI 2024, Pune.
Cooper, A. C., Cooke, M. L., Takayama, K., Sumy, D. F., & McBride, S. (2024). From alert to action: earthquake early warning and deaf communities. Natural Hazards, 1–22.
Cui, X., Li, Z., & Hu, Y. (2022). Similarity of shallow and deep earthquakes in seismic moment release. Research Square.
Fallou, L., Finazzi, F., & Bossu, R. (2022). Erratum to Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study—The Earthquake Network Initiative in Peru. Seismological Research Letters, 93(4), 2410.
Festa, G., Zollo, A., Picozzi, M., Colombelli, S., Elia, L., & Caruso, A. (2022). Earthquake Early Warning Systems: Methodologies, Strategies, and Future Challenges. Advances in Science, Technology and Innovation, 193–196.
Huggins, T. J., Yang, L., Zhang, J., Tan, M. L., & Prasanna, R. (2021). Psychological Effects of Dominant Responses to Early Warning Alerts. International Journal of Ambient Computing and Intelligence (IJACI), 12(3), 1–15.
IGP. (2024). Último Sismo - IGP. Instituto Geofísico Del Perú.
Işik, R., Yilmaz, M. N., Tanrisever, Ö., Duru, H. A., & Bardak, B. (n.d.). DepremKit: Human and ChatGPT Labeled Turkish Earthquake Dataset[DepremKit: Insan ve ChatGPT Etiketli Türkçe Deprem Veri Kümesi]. 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, Istanbul.
Javes Amaya, J. A., Rodriguez Angeles, C. A., Cerna Vasquez, M. A., Fernandez Diaz, C. M., Garcia Zare, E. J., & Calvanapón-Alva, F. A. (2023). Dual structural design for an educational institution located in the Pacific Ring of Fire, Peru. *Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): "Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integra, 2023-July*.
Jeeva, C., Porkumaran, K., Boopathi, C. S., Karthikeyan, D., Sai Ganesh, C. S., & Krithika, B. (n.d.). Smart Earthquake Detector and Rescuing System for Differently Abled Person. *3rd International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2022 - Proceedings, Online*.
Kim Dam-yul, K. J. (2023). A Study on the Positive and Negative Perceptions of Users on Artificial Intelligence Chatbots. CONSUMER POLICY AND EDUCATION REVIEW, 19(4), 117–144.
Kopylova, G. N., Serafimova, Y. K., & Lyubushin, A. A. (2024). Meteorological Anomalies and Strong Earthquakes: A Case Study of the Petropavlovsk-Kamchatsky Region, Kamchatka Peninsula. Izvestiya, Physics of the Solid Earth, 60(3), 494–507.
Lara, P., Tavera, H., Bletery, Q., Ampuero, J. P., Inza, A., Portugal, D., Orihuela, B., & Meza, F. (2024). Implementation of the Peruvian Earthquake Early Warning System. EarthArXiv.
Liu, L. (2023). Analyzing the text contents produced by ChatGPT: Prompts, feature-components in responses, and a predictive model. Journal of Educational Technology Development and Exchange, 16(1), 49–70.
McGrath, S. P., Kozel, B. A., Gracefo, S., Sutherland, N., Danford, C. J., & Walton, N. (2024). A comparative evaluation of ChatGPT 3.5 and ChatGPT 4 in responses to selected genetics questions. Journal of the American Medical Informatics Association: JAMIA, 31(10), 2271–2283.
McLaughlin Mitchell, S., & Pizzi, E. (2024). Patterns of government disaster policy response in Peru. World Development, 182, 106707.
Mehta, M., Pandey, A., Kumar, R., & Kotharkar, R. S. (2023). Seismic Risk Assessment of Nagpur City Using Google Maps. Lecture Notes in Civil Engineering, 330, 513–527.
Oncevay, A. (2021). Peru is Multilingual, Its Machine Translation Should Be Too? In M. Mager, A. Oncevay, A. Rios, I. V. M. Ruiz, A. Palmer, G. Neubig, & K. Kann (Eds.), Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas (pp. 194–201). Association for Computational Linguistics.
Pan, Y., Pan, L., Chen, W., Nakov, P., Kan, M. Y., & Wang, W. Y. (2023). On the Risk of Misinformation Pollution with Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2023, 1389–1403.
Quinto Huamán, C., Arce Oré, P., Arones Hernández, S., Paredes Silvestre, L., Inga Rodríguez, S., & Madeleine Rojas Cangahuala, G. (n.d.). Quake100: A Neural Network-Based Application for Predicting Earthquakes in Peru. Proceedings of the LACCEI International Multi-Conference for Engineering, Education and Technology, Jose.
Ray, P. P. (2024). ChatGPT in transforming communication in seismic engineering: Case studies, implications, key challenges and future directions. Earthquake Science, 37(4), 352–367.
Sarangi, P. K., Lumbani, A., Swarup, M. S., Panda, S., Sahoo, S. S., Hui, P., Choudhary, A., Mohakud, S., Patel, R. K., & Mondal, H. (2023). Assessing ChatGPT's Proficiency in Simplifying Radiological Reports for Healthcare Professionals and Patients. Cureus, 15(12), e50881.
Schrepp, M., & Thomaschewski, J. (2019). Design and Validation of a Framework for the Creation of User Experience Questionnaires. International Journal of Interactive Multimedia and Artificial Intelligence, 5(Regular Issue), 88–95.
Sullivan, G. M., & Anthony R. Artino, J. (2013). Analyzing and Interpreting Data From Likert-Type Scales. Journal of Graduate Medical Education, 5(4), 541.
Sun, J., Tian, Y., Zhou, W., Xu, N., Hu, Q., Gupta, R., Wieting, J., Peng, N., & Ma, X. (2023). Evaluating Large Language Models on Controlled Generation Tasks. *EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings, 3155–3168*.
Tani, M., Terao, M., Sogi, N., Shibata, T., Senzaki, K., & Rodrigues, R. (2024). Disaster Damage Assessment Using LLMs and Image Analysis. NEC Technical Journal, 17(2), 51–53.
Wang, Z. P., Bhandary, P., Wang, Y., & Moore, J. H. (2024). Using GPT-4 to write a scientific review article: a pilot evaluation study. BioData Mining, 17(1), 16.
Willard, B. T., & Louf, R. (2023). Efficient Guided Generation for Large Language Models. ArXiv.
Wilson, M. P., Foulger, G. R., Wilkinson, M. W., Gluyas, J. G., Mhana, N., & Tezel, T. (2023). Artificial Intelligence and Human-Induced Seismicity: Initial Observations of ChatGPT. Seismological Research Letters, 94(5), 2111–2118.
Wu, Z., & Hu, M. (2024). Definitions, Classification Schemes for Active Faults, and Their Application. Geosciences (Switzerland), 14(3), 68.
Zavala, C., Diaz, M., & Ríos, F. (2023). In Challenge of Approaching Casualties and Injured People Due to a Damaging Earthquake. Journal of Disaster Research, 18(4), 388–396.
Johanson, G. A., & Brooks, G. P. (2010). Initial Scale Development: Sample Size for Pilot Studies. Educational and Psychological Measurement, 70(3), 394–400.
Peña-Cáceres, O., Silva-Marchan, H., Espinoza-Nima, R., Garay-Silupu, E., Ricalde-Morán, D., & Alvarado-Paiva, D. (2024). ChatGPT in the Generation of Explanations for Cyber-Physical Systems. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology.
Peña-Cáceres, O., Chunga-Zapata, E., Silva-Marchan, H., Espinoza-Nima, R., Suárez-Villasís, M., Yánez-Palacios, J., & Alvarado-Paiva, D. (2024). WhatsApp: An Autonomous Alert System for Emergencies and Disasters. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology.
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