Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108012
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorHostetter, Hen_US
dc.creatorNaser, MZen_US
dc.creatorHuang, Xen_US
dc.creatorGales, Jen_US
dc.date.accessioned2024-07-23T01:36:18Z-
dc.date.available2024-07-23T01:36:18Z-
dc.identifier.urihttp://hdl.handle.net/10397/108012-
dc.language.isoenen_US
dc.publisherKeAi Publishing Communications Ltd.en_US
dc.rights© 2024 National Institute of Natural Hazards, Ministry of Emergency Management of China. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Hostetter, H., Naser, M. Z., Huang, X., & Gales, J. (2024). The role of large language models (AI chatbots) in fire engineering: An examination of technical questions against domain knowledge. Natural Hazards Research, 4(4), 669-688 is available at https://doi.org/10.1016/j.nhres.2024.06.003.en_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectChatbotsen_US
dc.subjectFire engineeringen_US
dc.subjectLarge language models (LLMs)en_US
dc.titleThe role of large language models (AI chatbots) in fire engineering : an examination of technical questions against domain knowledgeen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage669en_US
dc.identifier.epage688en_US
dc.identifier.volume4en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1016/j.nhres.2024.06.003en_US
dcterms.abstractThis communication presents a short review of chatbot technology and preliminary findings from comparing two recent chatbots, OpenAI's ChatGPT and Google's Bard, in the context of fire engineering by evaluating their responses in handling fire safety-related queries. A diverse range of fire engineering questions and scenarios were created and examined, including structural fire design, fire prevention strategies, evacuation, building code compliance, and fire suppression systems. The results reveal some key differences in the performance of the chatbots, with ChatGPT demonstrating a relatively superior performance of 88% (vs. 80% for Bard). Then, this communication highlights the potential for chatbot technology to revolutionize fire engineering practices by providing instant access to critical information while outlining areas for further improvement and research. Evidently, and when it matures, this technology will likely be elemental to our engineers’ practice and education.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNatural hazards research, Dec. 2024, v. 4, no. 4, p. 669-688en_US
dcterms.isPartOfNatural hazards researchen_US
dcterms.issued2024-12-
dc.identifier.scopus2-s2.0-85196669130-
dc.identifier.eissn2666-5921en_US
dc.description.validate202407 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3082a-
dc.identifier.SubFormID49415-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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