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Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire

The present online study surveyed drivers of SAE Level 2 partially automated cars on automation use and attitudes towards automation. Respondents reported high levels of trust in their partially automated cars to maintain speed and distance to the car ahead (M = 4.41), and to feel safe most of the t...

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Autores principales: Nordhoff, Sina, Stapel, Jork, He, Xiaolin, Gentner, Alexandre, Happee, Riender
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691907/
https://www.ncbi.nlm.nih.gov/pubmed/34932565
http://dx.doi.org/10.1371/journal.pone.0260953
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author Nordhoff, Sina
Stapel, Jork
He, Xiaolin
Gentner, Alexandre
Happee, Riender
author_facet Nordhoff, Sina
Stapel, Jork
He, Xiaolin
Gentner, Alexandre
Happee, Riender
author_sort Nordhoff, Sina
collection PubMed
description The present online study surveyed drivers of SAE Level 2 partially automated cars on automation use and attitudes towards automation. Respondents reported high levels of trust in their partially automated cars to maintain speed and distance to the car ahead (M = 4.41), and to feel safe most of the time (M = 4.22) on a scale from 1 to 5. Respondents indicated to always know when the car is in partially automated driving mode (M = 4.42), and to monitor the performance of their car most of the time (M = 4.34). A low rating was obtained for engaging in other activities while driving the partially automated car (M = 2.27). Partial automation did, however, increase reported engagement in secondary tasks that are already performed during manual driving (i.e., the proportion of respondents reporting to observe the landscape, use the phone for texting, navigation, music selection and calls, and eat during partially automated driving was higher in comparison to manual driving). Unsafe behaviour was rare with 1% of respondents indicating to rarely monitor the road, and another 1% to sleep during partially automated driving. Structural equation modeling revealed a strong, positive relationship between perceived safety and trust (β = 0.69, p = 0.001). Performance expectancy had the strongest effects on automation use, followed by driver engagement, trust, and non-driving related task engagement. Perceived safety interacted with automation use through trust. We recommend future research to evaluate the development of perceived safety and trust in time, and revisit the influence of driver engagement and non-driving related task engagement, which emerged as new constructs related to trust in partial automation.
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spelling pubmed-86919072021-12-22 Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire Nordhoff, Sina Stapel, Jork He, Xiaolin Gentner, Alexandre Happee, Riender PLoS One Research Article The present online study surveyed drivers of SAE Level 2 partially automated cars on automation use and attitudes towards automation. Respondents reported high levels of trust in their partially automated cars to maintain speed and distance to the car ahead (M = 4.41), and to feel safe most of the time (M = 4.22) on a scale from 1 to 5. Respondents indicated to always know when the car is in partially automated driving mode (M = 4.42), and to monitor the performance of their car most of the time (M = 4.34). A low rating was obtained for engaging in other activities while driving the partially automated car (M = 2.27). Partial automation did, however, increase reported engagement in secondary tasks that are already performed during manual driving (i.e., the proportion of respondents reporting to observe the landscape, use the phone for texting, navigation, music selection and calls, and eat during partially automated driving was higher in comparison to manual driving). Unsafe behaviour was rare with 1% of respondents indicating to rarely monitor the road, and another 1% to sleep during partially automated driving. Structural equation modeling revealed a strong, positive relationship between perceived safety and trust (β = 0.69, p = 0.001). Performance expectancy had the strongest effects on automation use, followed by driver engagement, trust, and non-driving related task engagement. Perceived safety interacted with automation use through trust. We recommend future research to evaluate the development of perceived safety and trust in time, and revisit the influence of driver engagement and non-driving related task engagement, which emerged as new constructs related to trust in partial automation. Public Library of Science 2021-12-21 /pmc/articles/PMC8691907/ /pubmed/34932565 http://dx.doi.org/10.1371/journal.pone.0260953 Text en © 2021 Nordhoff et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Nordhoff, Sina
Stapel, Jork
He, Xiaolin
Gentner, Alexandre
Happee, Riender
Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title_full Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title_fullStr Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title_full_unstemmed Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title_short Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
title_sort perceived safety and trust in sae level 2 partially automated cars: results from an online questionnaire
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691907/
https://www.ncbi.nlm.nih.gov/pubmed/34932565
http://dx.doi.org/10.1371/journal.pone.0260953
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