Towards human factor taxonomy with cognitive generic terms

Autores
Baziuk, Pedro Alejandro; Rivera, Selva Soledad; Nuñez McLeod, Jorge
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper one of the most important issues in human reliability analysis: human error taxonomies will be briefly described divided in two categories: 11 classical and 6 modern taxonomies. Aspects focused on the development of these approaches differ widely among classic and modern taxonomies. The two desirable features sought in newest taxonomies (inter­rater reliability and generality) seem to be contradictory to each other. Also the most important issues will be summarized. The analysis of the review points out that several taxonomies could be applied in some adverse scenario and suggests that possibly the idea of failure taxonomic should be discarded and replaced by human factor taxonomy with cognitive generic terms.
Fil: Baziuk, Pedro Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
Fil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
Fil: Nuñez McLeod, Jorge. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
Materia
HUMAN ERROR
HUMAN RELIABILITY
TAXONOMY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180729
Acceder
id CONICETDig_009f4f5c453edd45dc103d60c06ac610
oai_identifier_str oai:ri.conicet.gov.ar:11336/180729
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Towards human factor taxonomy with cognitive generic termsBaziuk, Pedro AlejandroRivera, Selva SoledadNuñez McLeod, JorgeHUMAN ERRORHUMAN RELIABILITYTAXONOMYhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2In this paper one of the most important issues in human reliability analysis: human error taxonomies will be briefly described divided in two categories: 11 classical and 6 modern taxonomies. Aspects focused on the development of these approaches differ widely among classic and modern taxonomies. The two desirable features sought in newest taxonomies (inter­rater reliability and generality) seem to be contradictory to each other. Also the most important issues will be summarized. The analysis of the review points out that several taxonomies could be applied in some adverse scenario and suggests that possibly the idea of failure taxonomic should be discarded and replaced by human factor taxonomy with cognitive generic terms.Fil: Baziuk, Pedro Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería; ArgentinaFil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingeniería; ArgentinaFil: Nuñez McLeod, Jorge. Universidad Nacional de Cuyo. Facultad de Ingeniería; ArgentinaNewswood Limited2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180729Baziuk, Pedro Alejandro; Rivera, Selva Soledad; Nuñez McLeod, Jorge; Towards human factor taxonomy with cognitive generic terms; Newswood Limited; Lecture Notes in Engineering and Computer Science; 2; 7-2014; 1141-11462078-09582078-0966CONICET DigitalCONICETenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:24:09Zoai:ri.conicet.gov.ar:11336/180729instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:24:09.92CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Towards human factor taxonomy with cognitive generic terms
title Towards human factor taxonomy with cognitive generic terms
spellingShingle Towards human factor taxonomy with cognitive generic terms
Baziuk, Pedro Alejandro
HUMAN ERROR
HUMAN RELIABILITY
TAXONOMY
title_short Towards human factor taxonomy with cognitive generic terms
title_full Towards human factor taxonomy with cognitive generic terms
title_fullStr Towards human factor taxonomy with cognitive generic terms
title_full_unstemmed Towards human factor taxonomy with cognitive generic terms
title_sort Towards human factor taxonomy with cognitive generic terms
dc.creator.none.fl_str_mv Baziuk, Pedro Alejandro
Rivera, Selva Soledad
Nuñez McLeod, Jorge
author Baziuk, Pedro Alejandro
author_facet Baziuk, Pedro Alejandro
Rivera, Selva Soledad
Nuñez McLeod, Jorge
author_role author
author2 Rivera, Selva Soledad
Nuñez McLeod, Jorge
author2_role author
author
dc.subject.none.fl_str_mv HUMAN ERROR
HUMAN RELIABILITY
TAXONOMY
topic HUMAN ERROR
HUMAN RELIABILITY
TAXONOMY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper one of the most important issues in human reliability analysis: human error taxonomies will be briefly described divided in two categories: 11 classical and 6 modern taxonomies. Aspects focused on the development of these approaches differ widely among classic and modern taxonomies. The two desirable features sought in newest taxonomies (inter­rater reliability and generality) seem to be contradictory to each other. Also the most important issues will be summarized. The analysis of the review points out that several taxonomies could be applied in some adverse scenario and suggests that possibly the idea of failure taxonomic should be discarded and replaced by human factor taxonomy with cognitive generic terms.
Fil: Baziuk, Pedro Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
Fil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
Fil: Nuñez McLeod, Jorge. Universidad Nacional de Cuyo. Facultad de Ingeniería; Argentina
description In this paper one of the most important issues in human reliability analysis: human error taxonomies will be briefly described divided in two categories: 11 classical and 6 modern taxonomies. Aspects focused on the development of these approaches differ widely among classic and modern taxonomies. The two desirable features sought in newest taxonomies (inter­rater reliability and generality) seem to be contradictory to each other. Also the most important issues will be summarized. The analysis of the review points out that several taxonomies could be applied in some adverse scenario and suggests that possibly the idea of failure taxonomic should be discarded and replaced by human factor taxonomy with cognitive generic terms.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180729
Baziuk, Pedro Alejandro; Rivera, Selva Soledad; Nuñez McLeod, Jorge; Towards human factor taxonomy with cognitive generic terms; Newswood Limited; Lecture Notes in Engineering and Computer Science; 2; 7-2014; 1141-1146
2078-0958
2078-0966
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180729
identifier_str_mv Baziuk, Pedro Alejandro; Rivera, Selva Soledad; Nuñez McLeod, Jorge; Towards human factor taxonomy with cognitive generic terms; Newswood Limited; Lecture Notes in Engineering and Computer Science; 2; 7-2014; 1141-1146
2078-0958
2078-0966
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Newswood Limited
publisher.none.fl_str_mv Newswood Limited
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781777390075904
score 12.982451

Publicaciones similares