Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment

Risk assessment methodologies results in construction sector are usually reported within a very limited linguistic context of preventive action, which may involve interpretation difficulties. This research identifies the problem of risk assessment methodologies to linguistically convey the results o...

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Detalles Bibliográficos
Autores: Carpio de los Pinos, Antonio José, González García, María de las Nieves, Fernández Álvarez, M.
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Consejo General de la Arquitectura Técnica de España (CGATE)
Repositorio:RIARTE
OAI Identifier:oai:www.riarte.es:20.500.12251/3672
Acceso en línea:http://hdl.handle.net/20.500.12251/3672
https://doi.org/10.1080/1463922X.2024.2318660
Access Level:acceso abierto
Palabra clave:Evaluación de riesgos laborales
Inteligencia Artificial
Prevención de riesgos laborales
Gestión de la prevención
Nivel de acción preventiva
Lenguajes y Sistemas Informáticos
Condiciones de trabajo
6109.01 Prevención de Accidentes
6109.03 Planificación y evaluación de puestos de trabajo
6109.07 Evaluación del Rendimiento
1203.04 Inteligencia Artificial
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spelling Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environmentCarpio de los Pinos, Antonio JoséGonzález García, María de las NievesFernández Álvarez, M.Evaluación de riesgos laboralesInteligencia ArtificialPrevención de riesgos laboralesGestión de la prevenciónNivel de acción preventivaLenguajes y Sistemas InformáticosCondiciones de trabajo6109.01 Prevención de Accidentes6109.03 Planificación y evaluación de puestos de trabajo6109.07 Evaluación del Rendimiento1203.04 Inteligencia ArtificialRisk assessment methodologies results in construction sector are usually reported within a very limited linguistic context of preventive action, which may involve interpretation difficulties. This research identifies the problem of risk assessment methodologies to linguistically convey the results of risk assessment to construction workers. The methodology adapted to construction sites called Level of Preventive Action (Lpac) determines levels of preventive action control related to a spectrum of quantitative results, with data collection based on physical conditions of the environment with sensors in the construction and safety systems; and behavioural conditions and worker emotional state with body sensors, locators and integrating with the BIM approach. The communication of the results must be adapted to the multiple variables that occur in a communicative interaction. The Lpac method proposes a broad spectrum of preventive action control conditions on the physical and human environment that are transmitted to the worker, which allows for different communicative possibilities. In this sense, safety is assessed concerning the different risks involved in work performance, applying control banding concepts. Optimising the physical and human environment in real time is essential through devices that generate a complex human-machine interaction within an artificial intelligence environment in the construction sector.TAYLOR & FRANCIS LTD2024info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12251/3672https://doi.org/10.1080/1463922X.2024.2318660reponame:RIARTEinstname:Consejo General de la Arquitectura Técnica de España (CGATE)Ingléshttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:www.riarte.es:20.500.12251/36722026-06-02T12:44:41Z
dc.title.none.fl_str_mv Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
title Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
spellingShingle Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
Carpio de los Pinos, Antonio José
Evaluación de riesgos laborales
Inteligencia Artificial
Prevención de riesgos laborales
Gestión de la prevención
Nivel de acción preventiva
Lenguajes y Sistemas Informáticos
Condiciones de trabajo
6109.01 Prevención de Accidentes
6109.03 Planificación y evaluación de puestos de trabajo
6109.07 Evaluación del Rendimiento
1203.04 Inteligencia Artificial
title_short Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
title_full Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
title_fullStr Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
title_full_unstemmed Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
title_sort Linguistic analysis for occupational risk assessment communication using the Lpac in an AI environment
dc.creator.none.fl_str_mv Carpio de los Pinos, Antonio José
González García, María de las Nieves
Fernández Álvarez, M.
author Carpio de los Pinos, Antonio José
author_facet Carpio de los Pinos, Antonio José
González García, María de las Nieves
Fernández Álvarez, M.
author_role author
author2 González García, María de las Nieves
Fernández Álvarez, M.
author2_role author
author
dc.subject.none.fl_str_mv Evaluación de riesgos laborales
Inteligencia Artificial
Prevención de riesgos laborales
Gestión de la prevención
Nivel de acción preventiva
Lenguajes y Sistemas Informáticos
Condiciones de trabajo
6109.01 Prevención de Accidentes
6109.03 Planificación y evaluación de puestos de trabajo
6109.07 Evaluación del Rendimiento
1203.04 Inteligencia Artificial
topic Evaluación de riesgos laborales
Inteligencia Artificial
Prevención de riesgos laborales
Gestión de la prevención
Nivel de acción preventiva
Lenguajes y Sistemas Informáticos
Condiciones de trabajo
6109.01 Prevención de Accidentes
6109.03 Planificación y evaluación de puestos de trabajo
6109.07 Evaluación del Rendimiento
1203.04 Inteligencia Artificial
description Risk assessment methodologies results in construction sector are usually reported within a very limited linguistic context of preventive action, which may involve interpretation difficulties. This research identifies the problem of risk assessment methodologies to linguistically convey the results of risk assessment to construction workers. The methodology adapted to construction sites called Level of Preventive Action (Lpac) determines levels of preventive action control related to a spectrum of quantitative results, with data collection based on physical conditions of the environment with sensors in the construction and safety systems; and behavioural conditions and worker emotional state with body sensors, locators and integrating with the BIM approach. The communication of the results must be adapted to the multiple variables that occur in a communicative interaction. The Lpac method proposes a broad spectrum of preventive action control conditions on the physical and human environment that are transmitted to the worker, which allows for different communicative possibilities. In this sense, safety is assessed concerning the different risks involved in work performance, applying control banding concepts. Optimising the physical and human environment in real time is essential through devices that generate a complex human-machine interaction within an artificial intelligence environment in the construction sector.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12251/3672
https://doi.org/10.1080/1463922X.2024.2318660
url http://hdl.handle.net/20.500.12251/3672
https://doi.org/10.1080/1463922X.2024.2318660
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv TAYLOR & FRANCIS LTD
publisher.none.fl_str_mv TAYLOR & FRANCIS LTD
dc.source.none.fl_str_mv reponame:RIARTE
instname:Consejo General de la Arquitectura Técnica de España (CGATE)
instname_str Consejo General de la Arquitectura Técnica de España (CGATE)
reponame_str RIARTE
collection RIARTE
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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