2020
DOI: 10.1080/00140139.2020.1744064
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Who is to blame for crashes involving autonomous vehicles? Exploring blame attribution across the road transport system

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Cited by 39 publications
(29 citation statements)
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“…The study was successful in showing systematic effects of the type of vehicle and outcome severity on blame attribution and trust after an accident. Consistent with previous research (e.g., [9]), the level of blame attributed to the operator was positively related to accident severity, with near misses eliciting the lowest level of blame while major accidents received the highest level. These results are perhaps not surprising due to the fact that negative emotions have been found to be a major contributing factor in the attribution of blame (see [4] for a review) and severe outcomes, especially those involving personal injuries, are more readily to provoke emotional reactions than less severe outcomes.…”
Section: Discussionsupporting
confidence: 88%
“…The study was successful in showing systematic effects of the type of vehicle and outcome severity on blame attribution and trust after an accident. Consistent with previous research (e.g., [9]), the level of blame attributed to the operator was positively related to accident severity, with near misses eliciting the lowest level of blame while major accidents received the highest level. These results are perhaps not surprising due to the fact that negative emotions have been found to be a major contributing factor in the attribution of blame (see [4] for a review) and severe outcomes, especially those involving personal injuries, are more readily to provoke emotional reactions than less severe outcomes.…”
Section: Discussionsupporting
confidence: 88%
“…In addition, we acknowledge that describing underlying driver behavior (distraction) without explicitly stating its likely behavioral outcome (reduced ability to intervene) leaves room for interpretation. Similar studies described more explicit actions (e.g., “[the driver] decided to not intervene” 6 ) or outcomes (e.g., “the semi-autonomous car hits the pedestrian” 8 ), not the underlying behavior leading up to them (i.e., distraction in our case). We argue that providing information on the underlying behavior, which we based on human factors literature (e.g., 24 , 26 , 28 , 29 ), is essential and provides a more thorough account of the situation.…”
Section: Discussionmentioning
confidence: 55%
“…The fact that drivers are mostly blamed could be due to the ‘foreseeability’ involved in partially automated vehicles—the driver should anticipate that the automation could fail 8 , 36 . Most of our participants’ arguments reflect this notion: among others, participants expected the driver to supervise and not get distracted, as well as that the driver made a voluntary choice and commitment when buying or driving a partially automated vehicle.…”
Section: Discussionmentioning
confidence: 99%
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