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Advancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologies

dc.contributor.advisorRodrigues, Matilde Alexandra
dc.contributor.authorFerreira, Daniela Filipa Campos
dc.date.accessioned2024-01-31T09:35:32Z
dc.date.available2024-11-13T01:31:07Z
dc.date.issued2023-11-13
dc.description.abstractPupil 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.pt_PT
dc.identifier.tid203477472pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/24872
dc.language.isoengpt_PT
dc.subjectEyetrackingpt_PT
dc.subjectPupil size evaluationpt_PT
dc.subjectPsychological factorspt_PT
dc.subjectOccupational safety and healthpt_PT
dc.titleAdvancing the understanding of pupil size variation in occupational safety and health: a systematic review and evaluation of open-source methodologiespt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameHigiene e Segurança das Organizaçõespt_PT

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