A cross-disciplinary survey of narrative artificial intelligence techniques and dynamic programming for weather warning communication optimization to increase hurricane evacuation turnout.
The following survey paper reviews several methodologies across the fields of computational meteorology, dynamic programming, communications psychology, and narrative artificial intelligence that can provide effective messaging solutions to the ongoing problem of low evacuation turnout during emerge...
| Publicado en: | Journal of Emergency Management Vol. 24; no. 4; pp. 503 - 517 |
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| Autores principales: | , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Weston Medical Publishing, LLC
Jul/Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196173143&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196173143 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15435865 24P2 jtl: Journal of Emergency Management issn: 15435865 maglogo: N pubinfo: dt: Jul/Aug2026 vid: 24 iid: 4 pid: 49473 pub: Weston Medical Publishing, LLC place: Weston, Massachusetts artinfo: ui: 196173143 196173143 196173143 10.5055/jem.0977 196173143 ppf: 503 ppct: 14 formats: tig: atl: A cross-disciplinary survey of narrative artificial intelligence techniques and dynamic programming for weather warning communication optimization to increase hurricane evacuation turnout. aug: au: Gagné, Madeleine Potts, Colin Jhala, Arnav affil: North Carolina State University, Raleigh, North Carolina sug: subj: Research, Interdisciplinary Decision Making Artificial Intelligence Methods Narratives Extreme Weather Communication Natural Disasters Rescue Work Causality Persuasive Communication Meteorological Factors Instant Messaging Conceptual Framework Algorithms ab: The following survey paper reviews several methodologies across the fields of computational meteorology, dynamic programming, communications psychology, and narrative artificial intelligence that can provide effective messaging solutions to the ongoing problem of low evacuation turnout during emergencies like hurricanes. We focus on two main aspects of emergency messaging. First, we focus on dynamic programming as a technique to optimize message formats. This technique has been applied to emergency management in the past, as it provides researchers with state-based stochastic models that can lay a framework for developing communication optimization algorithms. Second, communications psychology suggests how the brain is hardwired for greater persuasion and information intake when facts are organized in the format of narratives, suggesting that story structure itself optimizes messaging. We review work in computational models of narrative generation for their potential to be applied to the generation of emergency messaging. The introduction and synthesis of relevant work from these disciplines and their application to emergency messaging could provide a novel approach for improving evacuation outcomes. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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