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Changes in Physiological Condition in Open Versus Closed Eyes

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 775))

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Abstract

With the development of information technology, modern society has become a 24-h society, and the burden on employees regarding longer working hours and the need to process greater amounts of information has increased. This excessive burden on employees will likely result in more errors. Employee workloads need to be monitored and adjusted to prevent these types of overwork-related errors. This study aimed to investigate the changes in physiological conditions that take place during specific tasks conducted with the eyes open and closed. Oxygenated hemoglobin concentrations increased and alpha waves in electroencephalograms recorded from the frontal and parietal regions decreased during the high workload task. This trend appeared in both the closed and open eyes states. Theta waves showed different trends between these brain regions. In the open eyes state, theta waves decreased in the occipital region but increased in the frontal region during the high workload task. The theta waves also showed a different trend between the closed and open eyes states. Theta waves in the frontal region increased during the high workload task in the open eyes state, but did not change in the closed eyes state during any task. Based on these results, we consider that it is better to use the theta waves in the occipital region and the alpha waves in the parietal region to assess mental workload in the closed eyes state.

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Acknowledgements

This study was supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT)-Supported Program for the Strategic Research Foundation at Private Universities, 2013–2017.

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Correspondence to Kazuya Onishi .

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Onishi, K., Hagiwara, H. (2019). Changes in Physiological Condition in Open Versus Closed Eyes. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_4

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