Dynamic scan paths investigations under manual and highly automated driving

Abstract Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers’ visual inputs. Despite knowledge gained on gaze behaviour behind...

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Autores principales:	Jordan Navarro, Otto Lappi, François Osiurak, Emma Hernout, Catherine Gabaude, Emanuelle Reynaud
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/430e0ff33a2f417b8a07334b3648f330
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id	oai:doaj.org-article:430e0ff33a2f417b8a07334b3648f330
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spelling	oai:doaj.org-article:430e0ff33a2f417b8a07334b3648f3302021-12-02T12:09:32ZDynamic scan paths investigations under manual and highly automated driving10.1038/s41598-021-83336-42045-2322https://doaj.org/article/430e0ff33a2f417b8a07334b3648f3302021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83336-4https://doaj.org/toc/2045-2322Abstract Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers’ visual inputs. Despite knowledge gained on gaze behaviour behind the wheel, our understanding of the sequential aspects of the gaze strategies that actively sample that input remains restricted. Here, we apply scan path analysis to investigate sequences of visual scanning in manual and highly automated simulated driving. Five stereotypical visual sequences were identified under manual driving: forward polling (i.e. far road explorations), guidance, backwards polling (i.e. near road explorations), scenery and speed monitoring scan paths. Previously undocumented backwards polling scan paths were the most frequent. Under highly automated driving backwards polling scan paths relative frequency decreased, guidance scan paths relative frequency increased, and automation supervision specific scan paths appeared. The results shed new light on the gaze patterns engaged while driving. Methodological and empirical questions for future studies are discussed.Jordan NavarroOtto LappiFrançois OsiurakEmma HernoutCatherine GabaudeEmanuelle ReynaudNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jordan Navarro Otto Lappi François Osiurak Emma Hernout Catherine Gabaude Emanuelle Reynaud Dynamic scan paths investigations under manual and highly automated driving
description	Abstract Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers’ visual inputs. Despite knowledge gained on gaze behaviour behind the wheel, our understanding of the sequential aspects of the gaze strategies that actively sample that input remains restricted. Here, we apply scan path analysis to investigate sequences of visual scanning in manual and highly automated simulated driving. Five stereotypical visual sequences were identified under manual driving: forward polling (i.e. far road explorations), guidance, backwards polling (i.e. near road explorations), scenery and speed monitoring scan paths. Previously undocumented backwards polling scan paths were the most frequent. Under highly automated driving backwards polling scan paths relative frequency decreased, guidance scan paths relative frequency increased, and automation supervision specific scan paths appeared. The results shed new light on the gaze patterns engaged while driving. Methodological and empirical questions for future studies are discussed.
format	article
author	Jordan Navarro Otto Lappi François Osiurak Emma Hernout Catherine Gabaude Emanuelle Reynaud
author_facet	Jordan Navarro Otto Lappi François Osiurak Emma Hernout Catherine Gabaude Emanuelle Reynaud
author_sort	Jordan Navarro
title	Dynamic scan paths investigations under manual and highly automated driving
title_short	Dynamic scan paths investigations under manual and highly automated driving
title_full	Dynamic scan paths investigations under manual and highly automated driving
title_fullStr	Dynamic scan paths investigations under manual and highly automated driving
title_full_unstemmed	Dynamic scan paths investigations under manual and highly automated driving
title_sort	dynamic scan paths investigations under manual and highly automated driving
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/430e0ff33a2f417b8a07334b3648f330
work_keys_str_mv	AT jordannavarro dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving AT ottolappi dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving AT francoisosiurak dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving AT emmahernout dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving AT catherinegabaude dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving AT emanuellereynaud dynamicscanpathsinvestigationsundermanualandhighlyautomateddriving
_version_	1718394623520407552

Dynamic scan paths investigations under manual and highly automated driving

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