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Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task

Hazard perception is crucial for identifying potential hazards on the road, and how quick drivers can respond to the hazard partially relies on their risk rating of the hazard after they detect it. Although many studies have attempted to reveal the relationship between drivers’ response latencies an...

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Detalles Bibliográficos
Autores principales: Sun, Long, Hua, Lingsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428408/
https://www.ncbi.nlm.nih.gov/pubmed/30897146
http://dx.doi.org/10.1371/journal.pone.0214226
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author Sun, Long
Hua, Lingsen
author_facet Sun, Long
Hua, Lingsen
author_sort Sun, Long
collection PubMed
description Hazard perception is crucial for identifying potential hazards on the road, and how quick drivers can respond to the hazard partially relies on their risk rating of the hazard after they detect it. Although many studies have attempted to reveal the relationship between drivers’ response latencies and their risk ratings, this relationship has not been extensively explored under different hazard types. The present study addresses this issue using a video-based hazard perception task. Forty novice drivers and 35 experienced drivers were recruited and 26 video clips containing either an overt hazard (continuous visibility) or a covert hazard (interrupted visibility) were shown to participants. Participants were asked to finish the hazard perception task first and then rated the risk level of the hazard when each video clip was replayed. Participants’ confidence in their answers for risk ratings was also determined. Results showed that experienced drivers responded to overt and covert hazards faster than did novice drivers. A negative and significant correlation was found between drivers’ risk ratings of covert hazards and their response latencies. Such a relationship was not found for overt hazards. More importantly, drivers rated the risk level of covert hazards higher than that of overt hazards, and higher risk ratings of covert hazards resulted in faster responses to these hazards. The findings of the present study indicate that hazard types not only influence drivers’ risk ratings and response latencies but also determine their relationships.
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spelling pubmed-64284082019-04-02 Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task Sun, Long Hua, Lingsen PLoS One Research Article Hazard perception is crucial for identifying potential hazards on the road, and how quick drivers can respond to the hazard partially relies on their risk rating of the hazard after they detect it. Although many studies have attempted to reveal the relationship between drivers’ response latencies and their risk ratings, this relationship has not been extensively explored under different hazard types. The present study addresses this issue using a video-based hazard perception task. Forty novice drivers and 35 experienced drivers were recruited and 26 video clips containing either an overt hazard (continuous visibility) or a covert hazard (interrupted visibility) were shown to participants. Participants were asked to finish the hazard perception task first and then rated the risk level of the hazard when each video clip was replayed. Participants’ confidence in their answers for risk ratings was also determined. Results showed that experienced drivers responded to overt and covert hazards faster than did novice drivers. A negative and significant correlation was found between drivers’ risk ratings of covert hazards and their response latencies. Such a relationship was not found for overt hazards. More importantly, drivers rated the risk level of covert hazards higher than that of overt hazards, and higher risk ratings of covert hazards resulted in faster responses to these hazards. The findings of the present study indicate that hazard types not only influence drivers’ risk ratings and response latencies but also determine their relationships. Public Library of Science 2019-03-21 /pmc/articles/PMC6428408/ /pubmed/30897146 http://dx.doi.org/10.1371/journal.pone.0214226 Text en © 2019 Sun, Hua http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Long
Hua, Lingsen
Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title_full Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title_fullStr Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title_full_unstemmed Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title_short Effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
title_sort effects of hazard types on drivers’ risk rating and hazard response in a video-based hazard perception task
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428408/
https://www.ncbi.nlm.nih.gov/pubmed/30897146
http://dx.doi.org/10.1371/journal.pone.0214226
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