Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid
Abstract 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 vigi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-19876-0 |
| _version_ | 1818024727417978880 |
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| author | Niek Beckers Luciano Cavalcante Siebert Merijn Bruijnes Catholijn Jonker David Abbink |
| author_facet | Niek Beckers Luciano Cavalcante Siebert Merijn Bruijnes Catholijn Jonker David Abbink |
| author_sort | Niek Beckers |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-10T04:04:49Z |
| format | Article |
| id | doaj.art-2970dd2193724839b401eabd17c72675 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-10T04:04:49Z |
| publishDate | 2022-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-2970dd2193724839b401eabd17c726752022-12-22T02:02:53ZengNature PortfolioScientific Reports2045-23222022-09-0112111110.1038/s41598-022-19876-0Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoidNiek Beckers0Luciano Cavalcante Siebert1Merijn Bruijnes2Catholijn Jonker3David Abbink4AiTech, Delft University of TechnologyAiTech, Delft University of TechnologyPublic Governance and Management, Faculty of Law Economics and Governance, Utrecht UniversityAiTech, Delft University of TechnologyAiTech, Delft University of TechnologyAbstract 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.https://doi.org/10.1038/s41598-022-19876-0 |
| spellingShingle | Niek Beckers Luciano Cavalcante Siebert Merijn Bruijnes Catholijn Jonker David Abbink Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-022-19876-0 |
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