Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/24872 |
Resumo: | Pupil size can be used as an important biomarker of occupational risks. In recent years, there has been an increase in the development of open-source tools dedicated to obtaining and measuring pupil diameter. However, the appropriateness of these tools to be used in occupational settings is yet not clear. This study explores the importance of pupil size variation as a biomarker for occupational risks and review existing open-source methods to assess their potential applicability in research and occupational settings, aiming to prevent accidents and improve worker’s health and performance. To this end, a two-phase systematic literature review was carried out in the Web of ScienceTM, Science Direct® and Scopus® databases. For the relevance of monitoring pupil size variation in occupational settings, 15 articles were included. The articles were divided into three groups: mental workload, occupational stress, and mental fatigue. In most of them, pupil dilation increased with workload enhancement, and with higher levels of stress. With regards to fatigue, as far it was observed its increase, a decrease in pupil size was noticed. In what regards to the open-source methodologies, 16 articles were identified, which were separated into two categories: algorithms and software. For algorithms, the convolutional neural networks had better performance. Considering the software group and the previous results, MEYE, which can use a computer webcam, should be the best open-source system option to be used in occupational settings. This feature positions MEYE as a particularly practical tool for workers in stable environments, like those of developers and administrators. |
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Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologiesEyetrackingPupil size evaluationPsychological factorsOccupational safety and healthPupil size can be used as an important biomarker of occupational risks. In recent years, there has been an increase in the development of open-source tools dedicated to obtaining and measuring pupil diameter. However, the appropriateness of these tools to be used in occupational settings is yet not clear. This study explores the importance of pupil size variation as a biomarker for occupational risks and review existing open-source methods to assess their potential applicability in research and occupational settings, aiming to prevent accidents and improve worker’s health and performance. To this end, a two-phase systematic literature review was carried out in the Web of ScienceTM, Science Direct® and Scopus® databases. For the relevance of monitoring pupil size variation in occupational settings, 15 articles were included. The articles were divided into three groups: mental workload, occupational stress, and mental fatigue. In most of them, pupil dilation increased with workload enhancement, and with higher levels of stress. With regards to fatigue, as far it was observed its increase, a decrease in pupil size was noticed. In what regards to the open-source methodologies, 16 articles were identified, which were separated into two categories: algorithms and software. For algorithms, the convolutional neural networks had better performance. Considering the software group and the previous results, MEYE, which can use a computer webcam, should be the best open-source system option to be used in occupational settings. This feature positions MEYE as a particularly practical tool for workers in stable environments, like those of developers and administrators.Rodrigues, Matilde AlexandraRepositório Científico do Instituto Politécnico do PortoFerreira, Daniela Filipa Campos2023-11-132024-11-13T00:00:00Z2023-11-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.22/24872TID:203477472enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-07T01:48:33Zoai:recipp.ipp.pt:10400.22/24872Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:33.289354Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
title |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
spellingShingle |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies Ferreira, Daniela Filipa Campos Eyetracking Pupil size evaluation Psychological factors Occupational safety and health |
title_short |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
title_full |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
title_fullStr |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
title_full_unstemmed |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
title_sort |
Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies |
author |
Ferreira, Daniela Filipa Campos |
author_facet |
Ferreira, Daniela Filipa Campos |
author_role |
author |
dc.contributor.none.fl_str_mv |
Rodrigues, Matilde Alexandra Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Ferreira, Daniela Filipa Campos |
dc.subject.por.fl_str_mv |
Eyetracking Pupil size evaluation Psychological factors Occupational safety and health |
topic |
Eyetracking Pupil size evaluation Psychological factors Occupational safety and health |
description |
Pupil size can be used as an important biomarker of occupational risks. In recent years, there has been an increase in the development of open-source tools dedicated to obtaining and measuring pupil diameter. However, the appropriateness of these tools to be used in occupational settings is yet not clear. This study explores the importance of pupil size variation as a biomarker for occupational risks and review existing open-source methods to assess their potential applicability in research and occupational settings, aiming to prevent accidents and improve worker’s health and performance. To this end, a two-phase systematic literature review was carried out in the Web of ScienceTM, Science Direct® and Scopus® databases. For the relevance of monitoring pupil size variation in occupational settings, 15 articles were included. The articles were divided into three groups: mental workload, occupational stress, and mental fatigue. In most of them, pupil dilation increased with workload enhancement, and with higher levels of stress. With regards to fatigue, as far it was observed its increase, a decrease in pupil size was noticed. In what regards to the open-source methodologies, 16 articles were identified, which were separated into two categories: algorithms and software. For algorithms, the convolutional neural networks had better performance. Considering the software group and the previous results, MEYE, which can use a computer webcam, should be the best open-source system option to be used in occupational settings. This feature positions MEYE as a particularly practical tool for workers in stable environments, like those of developers and administrators. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-13 2023-11-13T00:00:00Z 2024-11-13T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/24872 TID:203477472 |
url |
http://hdl.handle.net/10400.22/24872 |
identifier_str_mv |
TID:203477472 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/embargoedAccess |
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embargoedAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137416791982080 |