Blaming automated vehicles in difficult situations
dc.contributor.author | Franklin, M | |
dc.contributor.author | Awad, E | |
dc.contributor.author | Lagnado, D | |
dc.date.accessioned | 2021-02-26T10:39:15Z | |
dc.date.issued | 2021-03-01 | |
dc.description.abstract | Automated Vehicles (AVs) have made huge strides towards large scale deployment. Despite this progress, AVs continue to make mistakes, some resulting in death. While some mistakes are avoidable, others are hard to avoid even by highly-skilled drivers. As these mistakes continue to shape attitudes towards AVs, we need to understand whether people differentiate between them. We ask the following two questions. When an AV makes a mistake, does the perceived difficulty or novelty of the situation predict blame attributed to it? How does that blame attribution compare to a human driving a car? Through two studies we find that the amount of blame people attribute to AVs and human drivers is sensitive to situation difficulty. However, while some situations could be more difficult for AVs and others for human drivers, people blamed AVs more, regardless. Our results provide novel insights in understanding psychological barriers influencing the public’s view of AVs. | en_GB |
dc.description.sponsorship | University College London | en_GB |
dc.identifier.citation | Vol. 24 (4), article 102252 | en_GB |
dc.identifier.doi | 10.1016/j.isci.2021.102252 | |
dc.identifier.uri | http://hdl.handle.net/10871/124928 | |
dc.language.iso | en | en_GB |
dc.publisher | Cell Press | en_GB |
dc.relation.url | https://figshare.com/articles/dataset/Blaming_Automated_Vehicles_Study_1_/12982085 | en_GB |
dc.relation.url | https://figshare.com/articles/dataset/Blaming_Automated_Vehicles_Study_2_/12982103 | en_GB |
dc.rights | © 2021 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Blaming automated vehicles in difficult situations | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-02-26T10:39:15Z | |
dc.identifier.issn | 2589-0042 | |
dc.description | This is the final version. Available on open access from Elsevier via the DOI in this record | en_GB |
dc.description | Data and Code Availability: All data generated or analysed during this study are currently available in the Figshare repository. The data from Study 1 are available here https://figshare.com/articles/dataset/Blaming_Automated_Vehicles_Study_1_/12982085. The data from Study 2 are available here https://figshare.com/articles/dataset/Blaming_Automated_Vehicles_Study_2_/12982103. | en_GB |
dc.description | Materials Availability: All items used in the online experiment are available from the Lead Contact without restriction. | en_GB |
dc.identifier.journal | iScience | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-02-24 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-02-24 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-02-26T10:37:10Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-03-26T14:11:39Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2021 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/