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Analyzing the relationship between distracted driving and eye movement using multimodal data collected during car driving

Daigo Uraki, View ORCID ProfileKensuke Tanioka, View ORCID ProfileSatoru Hiwa, Hiroshi Furutani, View ORCID ProfileTomoyuki Hiroyasu
doi: https://doi.org/10.1101/2021.12.31.474674
Daigo Uraki
1Graduate school of Life and Medical Sciences, Doshisha University, Japan
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Kensuke Tanioka
2Department of Biomedical Sciences and Informatics, Doshisha University, Japan
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Satoru Hiwa
2Department of Biomedical Sciences and Informatics, Doshisha University, Japan
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Hiroshi Furutani
3AI x Humanity Research Center, Doshisha University, Japan
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Tomoyuki Hiroyasu
2Department of Biomedical Sciences and Informatics, Doshisha University, Japan
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Abstract

Human error is the leading cause of traffic accidents and originates from the distraction caused by various factors, such as the driver’s physical condition and mental state. One of the significant factors causing driver distraction is the presence of stress. In a previous study, multiple stressors were used to examine distraction while driving. Multiple stressors were given to the driver and the corresponding driver biometric data were obtained, and a multimodal dataset was published thereafter. In this study, we reiterate the results of existing studies and investigated the relationship between gaze variability while driving and stressor intervention, which has not yet been examined. We also examined whether biometric and vehicle information can estimate the presence or absence of secondary tasks during driving.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* tomo{at}is.doshisha.ac.jp

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 02, 2022.
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Analyzing the relationship between distracted driving and eye movement using multimodal data collected during car driving
Daigo Uraki, Kensuke Tanioka, Satoru Hiwa, Hiroshi Furutani, Tomoyuki Hiroyasu
bioRxiv 2021.12.31.474674; doi: https://doi.org/10.1101/2021.12.31.474674
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Analyzing the relationship between distracted driving and eye movement using multimodal data collected during car driving
Daigo Uraki, Kensuke Tanioka, Satoru Hiwa, Hiroshi Furutani, Tomoyuki Hiroyasu
bioRxiv 2021.12.31.474674; doi: https://doi.org/10.1101/2021.12.31.474674

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