Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping

This article presents an exploration of the literature through a systematic mapping around the application of neurolinguistic programming techniques (NLP) supported on the Web of Things (WoT) to prevent Burnout syndrome. This syndrome is a type of work stress that causes physical, mental and emotion...

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Autores:
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14288
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758
https://repositorio.uptc.edu.co/handle/001/14288
Palabra clave:
Burnout
emotions
Internet of Things
neurolinguistic programming
web of things
work stress
Burnout
emociones
estrés laboral
internet de las cosas
programación neurolingüística
web de las cosas
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License
http://purl.org/coar/access_right/c_abf423
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dc.title.en-US.fl_str_mv Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
dc.title.es-ES.fl_str_mv Prevención del síndrome de Burnout mediante programación neurolingüística soportada por la Web de las Cosas: Mapeo sistemático
title Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
spellingShingle Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
Burnout
emotions
Internet of Things
neurolinguistic programming
web of things
work stress
Burnout
emociones
estrés laboral
internet de las cosas
programación neurolingüística
web de las cosas
title_short Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
title_full Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
title_fullStr Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
title_full_unstemmed Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
title_sort Prevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic Mapping
dc.subject.en-US.fl_str_mv Burnout
emotions
Internet of Things
neurolinguistic programming
web of things
work stress
topic Burnout
emotions
Internet of Things
neurolinguistic programming
web of things
work stress
Burnout
emociones
estrés laboral
internet de las cosas
programación neurolingüística
web de las cosas
dc.subject.es-ES.fl_str_mv Burnout
emociones
estrés laboral
internet de las cosas
programación neurolingüística
web de las cosas
description This article presents an exploration of the literature through a systematic mapping around the application of neurolinguistic programming techniques (NLP) supported on the Web of Things (WoT) to prevent Burnout syndrome. This syndrome is a type of work stress that causes physical, mental and emotional exhaustion, generating an inability to work, since it is a gradual process in which the worker loses interest in their tasks, lacks a sense of responsibility and can generate deep depression. In the studies found, the use of WoT for the detection of emotions and work stress stands out, for this, the use of sensors capable of measuring Galvanic response of the skin GSR, HR heart rate, PPG photoplethysmography, ECG electrocardiogram, cameras, Low-cost microphones and microprocessors, as well as the use of Artificial Intelligence to process this data, among the most used techniques and algorithms are SVM Support Vector Machines, K-nearest neighbor and Naive Bayes classifier. In jobs in which emotions or work stress are detected, very few attempt to alter the mental or environmental environment of the user to bring them to a positive emotion or reduce stress. The possibility of using NLP techniques in the prevention of Burnout syndrome was evidenced. However, no work was found that related WoT as a support to NLP techniques to prevent Burnout syndrome, which is considered as a research opportunity in these fields.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:11:55Z
dc.date.available.none.fl_str_mv 2024-07-05T19:11:55Z
dc.date.none.fl_str_mv 2020-09-18
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a506
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758
10.19053/01211129.v29.n54.2020.11758
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14288
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758
https://repositorio.uptc.edu.co/handle/001/14288
identifier_str_mv 10.19053/01211129.v29.n54.2020.11758
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dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758/9624
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758/10011
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dc.format.none.fl_str_mv application/pdf
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dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 29 No. 54 (2020): Continuos Publication; e11758
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 29 Núm. 54 (2020): Publicación Continua; e11758
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2020-09-182024-07-05T19:11:55Z2024-07-05T19:11:55Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/1175810.19053/01211129.v29.n54.2020.11758https://repositorio.uptc.edu.co/handle/001/14288This article presents an exploration of the literature through a systematic mapping around the application of neurolinguistic programming techniques (NLP) supported on the Web of Things (WoT) to prevent Burnout syndrome. This syndrome is a type of work stress that causes physical, mental and emotional exhaustion, generating an inability to work, since it is a gradual process in which the worker loses interest in their tasks, lacks a sense of responsibility and can generate deep depression. In the studies found, the use of WoT for the detection of emotions and work stress stands out, for this, the use of sensors capable of measuring Galvanic response of the skin GSR, HR heart rate, PPG photoplethysmography, ECG electrocardiogram, cameras, Low-cost microphones and microprocessors, as well as the use of Artificial Intelligence to process this data, among the most used techniques and algorithms are SVM Support Vector Machines, K-nearest neighbor and Naive Bayes classifier. In jobs in which emotions or work stress are detected, very few attempt to alter the mental or environmental environment of the user to bring them to a positive emotion or reduce stress. The possibility of using NLP techniques in the prevention of Burnout syndrome was evidenced. However, no work was found that related WoT as a support to NLP techniques to prevent Burnout syndrome, which is considered as a research opportunity in these fields.En esta investigación, mediante la exploración de la literatura, se realizó un mapeo sistemático sobre la aplicación de técnicas de programación neurolingüística (PNL) soportadas en la Web de las Cosas (WoT) para prevenir el síndrome de Burnout. Dicho síndrome es un tipo de estrés laboral que causa agotamiento físico, mental y emocional, generando una incapacidad para trabajar, dado que es un proceso paulatino en el cual el trabajador pierde interés por sus tareas, carece de sentido de responsabilidad y puede generar profundas depresiones. En los estudios encontrados se destaca el uso de la WoT para la detección de emociones y estrés laboral, para ello sobresale el uso de sensores capaces de medir Respuesta galvánica de la piel GSR, Frecuencia cardiaca HR, Fotopletismografía PPG, Electrocardiograma ECG, Cámaras, Micrófonos y Microprocesadores de bajo costo, así como la utilización de Inteligencia Artificial para procesar estos datos, entre las técnicas y los algoritmos más usados destacan Máquinas de Vectores de Soporte SVM, K-vecino más cercano y clasificador Naive Bayes. En los trabajos en los que se detectan emociones o estrés laboral son muy pocos los que intentan alterar el entorno mental o ambiental del usuario para llevarlo a una emoción positiva o disminuir el estrés. Se evidenció la posibilidad de la utilización de técnicas de PNL en la prevención del síndrome de Burnout. Sin embargo, no se encontró ningún trabajo que relacionara la WoT como soporte a las técnicas PNL para prevenir el síndrome de Burnout, lo cual se considera como una oportunidad de investigación en estos campos.application/pdfapplication/xmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758/9624https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11758/10011Copyright (c) 2020 Líder Julián Rojas-Bolaños, M.Sc. (c), Miguel Ángel Niño-Zambrano, Ph. D., Andrea Pabón-Guerrero, M.Sc. (c)http://purl.org/coar/access_right/c_abf423http://purl.org/coar/access_right/c_abf2Revista Facultad de Ingeniería; Vol. 29 No. 54 (2020): Continuos Publication; e11758Revista Facultad de Ingeniería; Vol. 29 Núm. 54 (2020): Publicación Continua; e117582357-53280121-1129BurnoutemotionsInternet of Thingsneurolinguistic programmingweb of thingswork stressBurnoutemocionesestrés laboralinternet de las cosasprogramación neurolingüísticaweb de las cosasPrevention of Burnout Syndrome Through Neuro-linguistic Programming Supported by the Web of Things: A Systematic MappingPrevención del síndrome de Burnout mediante programación neurolingüística soportada por la Web de las Cosas: Mapeo sistemáticoinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a506http://purl.org/coar/version/c_970fb48d4fbd8a85Rojas-Bolaños, Líder JuliánNiño-Zambrano, Miguel ÁngelPabón-Guerrero, Andrea001/14288oai:repositorio.uptc.edu.co:001/142882025-07-18 11:53:58.313metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co