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| 1.39 MB | Adobe PDF |
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Abstract(s)
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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Keywords
Eyetracking Pupil size evaluation Psychological factors Occupational safety and health