Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving

Abstract Human error has been implicated as a causal factor in a large proportion of road accidents. Automated driving systems purport to mitigate this risk, but self-driving systems that allow a driver to entirely disengage from the driving task also require the driver to monitor the environment an...

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Autores principales: Erin E. Flynn-Evans, Lily R. Wong, Yukiyo Kuriyagawa, Nikhil Gowda, Patrick F. Cravalho, Sean Pradhan, Nathan H. Feick, Nicholas G. Bathurst, Zachary L. Glaros, Theerawit Wilaiprasitporn, Kanika Bansal, Javier O. Garcia, Cassie J. Hilditch
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/46bf0521253d48ae813efb6ebc707084
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spelling oai:doaj.org-article:46bf0521253d48ae813efb6ebc7070842021-12-02T15:31:27ZSupervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving10.1038/s41598-021-92914-52045-2322https://doaj.org/article/46bf0521253d48ae813efb6ebc7070842021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92914-5https://doaj.org/toc/2045-2322Abstract Human error has been implicated as a causal factor in a large proportion of road accidents. Automated driving systems purport to mitigate this risk, but self-driving systems that allow a driver to entirely disengage from the driving task also require the driver to monitor the environment and take control when necessary. Given that sleep loss impairs monitoring performance and there is a high prevalence of sleep deficiency in modern society, we hypothesized that supervising a self-driving vehicle would unmask latent sleepiness compared to manually controlled driving among individuals following their typical sleep schedules. We found that participants felt sleepier, had more involuntary transitions to sleep, had slower reaction times and more attentional failures, and showed substantial modifications in brain synchronization during and following an autonomous drive compared to a manually controlled drive. Our findings suggest that the introduction of partial self-driving capabilities in vehicles has the potential to paradoxically increase accident risk.Erin E. Flynn-EvansLily R. WongYukiyo KuriyagawaNikhil GowdaPatrick F. CravalhoSean PradhanNathan H. FeickNicholas G. BathurstZachary L. GlarosTheerawit WilaiprasitpornKanika BansalJavier O. GarciaCassie J. HilditchNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Erin E. Flynn-Evans
Lily R. Wong
Yukiyo Kuriyagawa
Nikhil Gowda
Patrick F. Cravalho
Sean Pradhan
Nathan H. Feick
Nicholas G. Bathurst
Zachary L. Glaros
Theerawit Wilaiprasitporn
Kanika Bansal
Javier O. Garcia
Cassie J. Hilditch
Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
description Abstract Human error has been implicated as a causal factor in a large proportion of road accidents. Automated driving systems purport to mitigate this risk, but self-driving systems that allow a driver to entirely disengage from the driving task also require the driver to monitor the environment and take control when necessary. Given that sleep loss impairs monitoring performance and there is a high prevalence of sleep deficiency in modern society, we hypothesized that supervising a self-driving vehicle would unmask latent sleepiness compared to manually controlled driving among individuals following their typical sleep schedules. We found that participants felt sleepier, had more involuntary transitions to sleep, had slower reaction times and more attentional failures, and showed substantial modifications in brain synchronization during and following an autonomous drive compared to a manually controlled drive. Our findings suggest that the introduction of partial self-driving capabilities in vehicles has the potential to paradoxically increase accident risk.
format article
author Erin E. Flynn-Evans
Lily R. Wong
Yukiyo Kuriyagawa
Nikhil Gowda
Patrick F. Cravalho
Sean Pradhan
Nathan H. Feick
Nicholas G. Bathurst
Zachary L. Glaros
Theerawit Wilaiprasitporn
Kanika Bansal
Javier O. Garcia
Cassie J. Hilditch
author_facet Erin E. Flynn-Evans
Lily R. Wong
Yukiyo Kuriyagawa
Nikhil Gowda
Patrick F. Cravalho
Sean Pradhan
Nathan H. Feick
Nicholas G. Bathurst
Zachary L. Glaros
Theerawit Wilaiprasitporn
Kanika Bansal
Javier O. Garcia
Cassie J. Hilditch
author_sort Erin E. Flynn-Evans
title Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
title_short Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
title_full Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
title_fullStr Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
title_full_unstemmed Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
title_sort supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/46bf0521253d48ae813efb6ebc707084
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