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Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519957/ https://www.ncbi.nlm.nih.gov/pubmed/36171437 http://dx.doi.org/10.1038/s41598-022-19876-0 |
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author | Beckers, Niek Siebert, Luciano Cavalcante Bruijnes, Merijn Jonker, Catholijn Abbink, David |
author_facet | Beckers, Niek Siebert, Luciano Cavalcante Bruijnes, Merijn Jonker, Catholijn Abbink, David |
author_sort | Beckers, Niek |
collection | PubMed |
description | People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in partially automated driving is unreasonable. Drivers show difficulties in taking over control when needed immediately, potentially resulting in dangerous situations. From a normative perspective, it would be reasonable to consider the impact of automation on the driver’s ability to take over control when attributing responsibility for a crash. We, therefore, analyzed whether the public indeed considers driver ability when attributing responsibility to the driver, the vehicle, and its manufacturer. Participants blamed the driver primarily, even though they recognized the driver’s decreased ability to avoid the crash. These results portend undesirable situations in which users of partially driving automation are the ones held responsible, which may be unreasonable due to the detrimental impact of driving automation on human drivers. Lastly, the outcome signals that public awareness of such human-factors issues with automated driving should be improved. |
format | Online Article Text |
id | pubmed-9519957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95199572022-09-30 Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid Beckers, Niek Siebert, Luciano Cavalcante Bruijnes, Merijn Jonker, Catholijn Abbink, David Sci Rep Article People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes, yet is this reasonable? While the driver is often required to immediately take over from the automation when it fails, placing such high expectations on the driver to remain vigilant in partially automated driving is unreasonable. Drivers show difficulties in taking over control when needed immediately, potentially resulting in dangerous situations. From a normative perspective, it would be reasonable to consider the impact of automation on the driver’s ability to take over control when attributing responsibility for a crash. We, therefore, analyzed whether the public indeed considers driver ability when attributing responsibility to the driver, the vehicle, and its manufacturer. Participants blamed the driver primarily, even though they recognized the driver’s decreased ability to avoid the crash. These results portend undesirable situations in which users of partially driving automation are the ones held responsible, which may be unreasonable due to the detrimental impact of driving automation on human drivers. Lastly, the outcome signals that public awareness of such human-factors issues with automated driving should be improved. Nature Publishing Group UK 2022-09-28 /pmc/articles/PMC9519957/ /pubmed/36171437 http://dx.doi.org/10.1038/s41598-022-19876-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Beckers, Niek Siebert, Luciano Cavalcante Bruijnes, Merijn Jonker, Catholijn Abbink, David Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title | Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title_full | Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title_fullStr | Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title_full_unstemmed | Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title_short | Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
title_sort | drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519957/ https://www.ncbi.nlm.nih.gov/pubmed/36171437 http://dx.doi.org/10.1038/s41598-022-19876-0 |
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